Pith. sign in

Paper Citation Record · LEDGER

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting

As of 20 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2506.06285.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.06285 v3

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:11.377759Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact29
  • verified fuzzy5
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d028194a-a7cd-4090-bb11-591399a2c5b4 · outbound

This paper cites Review of deep learning algorithms and architectures.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Review of deep learning algorithms and architectures

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.112244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.112244Z digest=sha256:57a83a297885ae27b81fdf26681f876ee44b5acd472a96876084f37dcfa8d794

Observation 379a135f-36d0-436f-9ae1-8e0a9254d2b9 · outbound

This paper cites Recent advances in deep learning.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Recent advances in deep learning

Reference 2

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.885450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.116765Z digest=sha256:db5f6c6836d57f778627a7f314112c1c63fdb78f6e170762f617f8dd24c98ca1

Observation 3f56a6d9-6305-4f93-9971-38da983ea579 · outbound

This paper cites Explainable AI : From black box to glass box.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Explainable AI : From black box to glass box

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.121047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.121047Z digest=sha256:e6e9ef4f09b864558228a8a11dd0fb6a0f0a894bfd9dff79368d3f668ef37bbf

Observation cfa6e07e-d31d-4ff5-98d3-4841c789aae8 · outbound

This paper cites Application of fuzzy algorithms for control of simple dynamic plant.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Application of fuzzy algorithms for control of simple dynamic plant

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.125414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.125414Z digest=sha256:e6db3eae620a577297f1802521dcec5e0630168ac61f2ba85f7f4a3a822d1c5d

Observation dfe238bd-1b8c-4990-8fde-2ad46f732c6c · outbound

This paper cites Fuzzy identification of systems and its applications to modeling and control.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy identification of systems and its applications to modeling and control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.129555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.129555Z digest=sha256:5abbce13ae93bafe968392decc4ee6246211226c16559113e4e0993a8c031732

Observation a96c7e2c-047b-43d3-850a-0a18b3a74575 · outbound

This paper cites Structure identification of fuzzy model.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Structure identification of fuzzy model

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.133853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.133853Z digest=sha256:ffb81fb0d1f9d8945cfce75f784e835dfb4e794bd895d954cd858f994617aa8e

Observation 429f96cb-bfef-44b4-969c-0edab4fbe06e · outbound

This paper cites Fuzzy logic for business, finance, and management, volume 23.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy logic for business, finance, and management, volume 23

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:38:13.097604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.138387Z digest=sha256:6a9ebf9d0dff8947d87a79bbc74d4c61cd09f364d7862465108ea63194f119c0

Observation bee00603-db8d-4662-99a1-5bf782c5b0ab · outbound

This paper cites Fuzzy systems in medicine, volume 41.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy systems in medicine, volume 41

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:38:13.086323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.142282Z digest=sha256:667872fd72e5886142d3851636447d613ba6d6caff6fe6f4585f490c633784b1

Observation fd287e7c-42df-4a87-bcf9-0470cfd4faae · outbound

This paper cites A survey on industrial applications of fuzzy control.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A survey on industrial applications of fuzzy control

Reference 9

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.859164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.146353Z digest=sha256:86d1df8266f42d4200a428973698b346439655d8c83bf64d2e191fc71d7f4b97

Observation 927221ab-6ced-444d-bae8-3d0988263804 · outbound

This paper cites Chemistry can make strict and fuzzy controls for bio-systems: DNA nanoarchitectonics and cell-macromolecular nanoarchitectonics.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Chemistry can make strict and fuzzy controls for bio-systems: DNA nanoarchitectonics and cell-macromolecular nanoarchitectonics

Reference 10

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.845624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.150336Z digest=sha256:7501a5acc73663aadcfbe5eafcfe7c523a3acfeac0aa2fbd6db17403ea124036

Observation c23f1f4c-a69c-4c7f-aeef-b7e891813ddc · outbound

This paper cites Face recognition with an improved interval type-2 fuzzy logic S ugeno integral and modular neural networks.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Face recognition with an improved interval type-2 fuzzy logic S ugeno integral and modular neural networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.154722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.154722Z digest=sha256:5da382dd36983ab7a077447ee77e205d25c3e53b30636f35e7efd4b593dc39ce

Observation ad0ba1d5-8d60-41f9-9d91-d0dfe47a0b5b · outbound

This paper cites Adaptive fault detection and diagnosis using an evolving fuzzy classifier.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Adaptive fault detection and diagnosis using an evolving fuzzy classifier

Reference 12

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.829811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.158721Z digest=sha256:db6dc7105a65fcd004599dd0c33d00c633e98cd9c7d27a8313cb8f456965422d

Observation cc0bc3bb-b7df-4c2d-b989-e91873f93274 · outbound

This paper cites A new T akagi-- S ugeno-- K ang model for time series forecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A new T akagi-- S ugeno-- K ang model for time series forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.162640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.162640Z digest=sha256:012d9e7e6f9d8492188d7f21139342fd28b748feb7328725e687f0337ac06239

Observation fd60ff58-8be2-498e-994a-4220d023e00f · outbound

This paper cites Financial S eries F orecasting: A N ew F uzzy I nference S ystem for C risp V alues and I nterval- V alued P redictions.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Financial S eries F orecasting: A N ew F uzzy I nference S ystem for C risp V alues and I nterval- V alued P redictions

Reference 14

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.817140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.166537Z digest=sha256:39daba7c4c665497472f7c955561d7bab57889704192b8cd27278aa638158b19

Observation 410bb2c2-6395-46d9-b2b1-4eb880bb5822 · outbound

This paper cites A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction

Reference 15

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.803774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.170653Z digest=sha256:b645b94f3952a22b1aff7781c2a43ed052756e88a0e8ae42bee3d2eed5ef98f1

Observation 798ff209-2db9-40ec-9c00-6b1ca71e88c4 · outbound

This paper cites A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems

Reference 16

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.790738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.174766Z digest=sha256:5a3a26fffec45bfe4bc23441e71d73c6aee3d2aee3f6b0a8063382d54e720b4f

Observation 6a8bdc5e-33c7-4e8a-9a09-2dcad0b7cff1 · outbound

This paper cites A wrapper feature subset selection method based on randomized search and multilayer structure.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A wrapper feature subset selection method based on randomized search and multilayer structure

Reference 17

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.779130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.178610Z digest=sha256:2dcd2d00b3ccc14ef4f0beb85b32c89244bffe21b8c332a61f2adac8cb259d56

Observation b0fd0337-643c-4897-99c2-3792ce4e0acf · outbound

This paper cites Genetic algorithms in the fields of artificial intelligence and data sciences.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Genetic algorithms in the fields of artificial intelligence and data sciences

Reference 18

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.766643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.182391Z digest=sha256:e14d1b41b76b060a04a844453715a4b2f6ee710d9a806e2b411d79a2644fd738

Observation e4a93178-6722-4fd9-91e6-129d86143350 · outbound

This paper cites Enriched ant colony optimization and its application in feature selection.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Enriched ant colony optimization and its application in feature selection

Reference 19

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.754184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.186599Z digest=sha256:e40485d7de37af80996cd530e179ae3fb8d879e412e22cf31a2547a436328328

Observation b7751c5b-e80f-4d55-a0ce-1006eeb965d5 · outbound

This paper cites An introduction to variable and feature selection.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An introduction to variable and feature selection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:38:13.075189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.190289Z digest=sha256:9ce4d618d0093d7f4fcdcb19d7729a43c55e5a3c2b9b1492817ac00d3a38690a

Observation 95071ee9-0615-451e-b52e-e8628371e6a4 · outbound

This paper cites Hybrid feature selection by combining filters and wrappers.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Hybrid feature selection by combining filters and wrappers

Reference 21

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.742573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.193974Z digest=sha256:5c69973de724f0a876c720dfe6745d0917821dd8376dc1ceca6fc137372f3324

Observation 67c50b13-43c9-422b-a75a-fd49834427fc · outbound

This paper cites Ensembles for feature selection: A review and future trends.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Ensembles for feature selection: A review and future trends

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.197479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.197479Z digest=sha256:a751f67c98777746f3547e3c612749793327c98264b4088dd7bf5b16323538c4

Observation 50deb270-e87c-4ec4-822b-c654fc3c5099 · outbound

This paper cites A survey on ensemble learning.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A survey on ensemble learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.201051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.201051Z digest=sha256:0181816d185506addcdd2b493dc3029478c6050c03cec5f74fcfe521590d655e

Observation eb5ac0ec-8400-45c1-ace3-76c1656d898e · outbound

This paper cites Trends and gaps in photovoltaic power forecasting with machine learning.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Trends and gaps in photovoltaic power forecasting with machine learning

Reference 24

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.715287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.204717Z digest=sha256:dc951859427920fd4be76a16cc77b980d09ede5d9d03b88f2683000e29947ace

Observation 6bed7a2b-4f98-4879-8119-824bd5c924b8 · outbound

This paper cites Intermittent and stochastic character of renewable energy sources: C onsequences, cost of intermittence and benefit of forecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Intermittent and stochastic character of renewable energy sources: C onsequences, cost of intermittence and benefit of forecasting

Reference 25

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.701974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.208323Z digest=sha256:00e9a575755393420cc60d25c3f941e0255b015a8336abeba248bea932bb7bbc

Observation fd0b64dd-4d09-4d4f-9db6-db1b7703ea5f · outbound

This paper cites Extensive comparison of physical models for photovoltaic power forecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Extensive comparison of physical models for photovoltaic power forecasting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.212164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.212164Z digest=sha256:119148cf78cbcfad88ab508053f4b05b12eef3cda91b7f046f67e3fb4b948fe0

Observation 453991cb-2779-4955-a40b-b13df86958b8 · outbound

This paper cites Photovoltaic and solar power forecasting for smart grid energy management.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Photovoltaic and solar power forecasting for smart grid energy management

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.216212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.216212Z digest=sha256:393a224819c0241efda2d17e802ae5f1849f9cd3e7a22c2907f70c71a1bf5f74

Observation 95777348-3e4c-42d4-8929-21ce4785c82e · outbound

This paper cites Very short-term photovoltaic power forecasting with cloud modeling: A review.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Very short-term photovoltaic power forecasting with cloud modeling: A review

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.220523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.220523Z digest=sha256:88d637321ae554ee421ad00dc0ab1e2fe1d7f0803f42b09e881f9f442c688527

Observation 21bf6909-2240-4500-99bb-145eea6ae3a3 · outbound

This paper cites Forecasting of photovoltaic power generation and model optimization: A review.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Forecasting of photovoltaic power generation and model optimization: A review

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.225032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.225032Z digest=sha256:aff702694ac15bd84db7ca3ce6b63993da9a50a70b00d40ff4430ac7a32c5920

Observation ddb159d7-c410-45eb-82ea-89af16ae90d3 · outbound

This paper cites CT-NET : A N ovel C onvolutional T ransformer- B ased N etwork for S hort- T erm S olar E nergy F orecasting U sing C limatic I nformation.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting CT-NET : A N ovel C onvolutional T ransformer- B ased N etwork for S hort- T erm S olar E nergy F orecasting U sing C limatic I nformation

Reference 30

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T05:38:12.623137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.229871Z digest=sha256:e07ace9f52e2a1dbc6c97babf8d7badace70f274b8399f5436a92b5aca7ceb77

Observation b04fe285-6ef7-4cc6-ade6-0bb581c1b49f · outbound

This paper cites Investigating the P ower of LSTM-B ased M odels in S olar E nergy F orecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Investigating the P ower of LSTM-B ased M odels in S olar E nergy F orecasting

Reference 31

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.675902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.234721Z digest=sha256:b7aa5149f2a46706f159c9a9d54a8d68f1db1e66537588949001d84f39778ef8

Observation 3d908820-d9b7-40a5-aea1-b713ae84e309 · outbound

This paper cites Machine learning based photovoltaics ( PV ) power prediction using different environmental parameters of Q atar.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Machine learning based photovoltaics ( PV ) power prediction using different environmental parameters of Q atar

Reference 32

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.663605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.239078Z digest=sha256:eb13418b93fa488073692d48b601adad1a64bacebdd6c0c435c229d129e1dfe8

Observation bb349631-8ad2-4edd-9068-afdba39edc51 · outbound

This paper cites Feature selection and ANN solar power prediction.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Feature selection and ANN solar power prediction

Reference 33

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.651468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.243150Z digest=sha256:0ffde7559788f36ae3a71a3bf61ee5bf540218484d22567d6aa4479a916df345

Observation 5476211d-3c78-4a72-a789-b5e56a2b9281 · outbound

This paper cites Solar power forecasting beneath diverse weather conditions using GD and LM -artificial neural networks.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Solar power forecasting beneath diverse weather conditions using GD and LM -artificial neural networks

Reference 34

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.639023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.247525Z digest=sha256:a77bdb241fb9e89740a5d4304fa680d034eca42d990142cf47cb3c509e0fa11b

Observation 0d635f79-7751-408c-b0a6-5bfb2dec86d5 · outbound

This paper cites A weather-based hybrid method for 1-day ahead hourly forecasting of PV power output.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A weather-based hybrid method for 1-day ahead hourly forecasting of PV power output

Reference 35

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T05:38:12.555610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.251879Z digest=sha256:65a12d185dfb6b8f3832d26448a325810ff42dad140f735b4405cea78c067961

Observation c5f7375c-caeb-4385-9aa4-5d3680d37180 · outbound

This paper cites PV forecasting using support vector machine learning in a big data analytics context.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting PV forecasting using support vector machine learning in a big data analytics context

Reference 36

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.626931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.255523Z digest=sha256:ecb3c734c85a1a88bb765b2fe430e0d9b6c3de78730f186b57a314f996915762

Observation 4a3387e0-0bd7-4949-aa51-66bd0d711629 · outbound

This paper cites Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines

Reference 37

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.613882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.259494Z digest=sha256:96116a47eb10360f8b99c1e08525c79d02fa3e3084b3b8d8312e1c36fb09e9e8

Observation dcf93f4c-89e6-4477-8d96-fbc9b277f0bd · outbound

This paper cites Short-term photovoltaic solar power forecasting using a hybrid W avelet- PSO-SVM model based on SCADA and meteorological information.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Short-term photovoltaic solar power forecasting using a hybrid W avelet- PSO-SVM model based on SCADA and meteorological information

Reference 38

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.600440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.263702Z digest=sha256:a9fece5aeeff5514dc0d30344013ff6dbec7a5221bd923f0ffb14d42031b9d80

Observation 2ccd6fb4-f822-44fb-b4d5-acf81ebb63ef · outbound

This paper cites Short-term PV power forecasting using hybrid GASVM technique.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Short-term PV power forecasting using hybrid GASVM technique

Reference 39

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.586051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.267792Z digest=sha256:7fa01752be21f32e7007cee21ea9dd835c3f3a9bb116d7ccd1f81f70e5df9696

Observation da994377-1392-4dbf-8eb9-764f18f39159 · outbound

This paper cites T akagi-- S ugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting T akagi-- S ugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:38:12.490755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.271737Z digest=sha256:604aac7c486ee3f06d25e0a2c854c333367e0b6d435195fcc42b48fce61fac8f

Observation 3e28ff26-336b-486e-8f27-30b37e58cbf1 · outbound

This paper cites A novel ultra-short-term PV power forecasting method based on DBN -based T akagi- S ugeno fuzzy model.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel ultra-short-term PV power forecasting method based on DBN -based T akagi- S ugeno fuzzy model

Reference 41

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.572554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.275469Z digest=sha256:a0120f86bca04683e0f1bed1897c58c30037f75f188dc33a332c431e7869ef68

Observation 817d1396-bed2-4c0b-a2da-0b1dc8e07407 · outbound

This paper cites A novel soft computing framework for solar radiation forecasting.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel soft computing framework for solar radiation forecasting

Reference 42

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.559567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.279613Z digest=sha256:dd5aa754b96000f993104a41dc2ed221da9d824dcb1f7f019a70f7974489d45c

Observation d9c9b1ee-0eb8-4007-84f4-f0ffbef6c80c · outbound

This paper cites Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting-- A review.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting-- A review

Reference 43

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.543871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.283649Z digest=sha256:ee829a16e1f3bc352409982087b7f4695285ecfc030800803b2e510b8e281940

Observation 64089fa0-0e6c-4e30-921e-a4351bf726cc · outbound

This paper cites Designing programmable current-mode G aussian and bell-shaped membership function.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Designing programmable current-mode G aussian and bell-shaped membership function

Reference 44

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.530975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.287484Z digest=sha256:36ef4daef2f09617f37470d030df31056ba6e01cb2423d4570d639af43d75920

Observation a387ca09-4ae0-4a27-b3cd-257b5a0ed6d6 · outbound

This paper cites An analysis of variance test for normality (complete samples).

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An analysis of variance test for normality (complete samples)

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.291325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.291325Z digest=sha256:c6c3754f85271a7cd56d7090453e893a1dbfc56a162c43edd546f14861647cd9

Observation 3e3c6a37-d7be-4c4f-8fd0-7814df3651b5 · outbound

This paper cites Likelihood ratio statistics for autoregressive time series with a unit root.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Likelihood ratio statistics for autoregressive time series with a unit root

Reference 46

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.508369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.295163Z digest=sha256:3fc6d8e37493bf04477cc661d30798fc97b5e3cdf8ab05f9734921f835221529

Observation debb2ec2-0a80-41bf-bcf2-81793981a16c · outbound

This paper cites Discriminatory analysis, nonparametric discrimination.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Discriminatory analysis, nonparametric discrimination

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:38:13.064016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.298947Z digest=sha256:51136550a9d63f00408840667fea9b22d3af5d0bf7c71f558d6b70346c20d72f

Observation 9504e700-e34b-4b21-92f1-8cc392bbcbcd · outbound

This paper cites Classification and regression trees ( W adsworth, B elmont, CA ).

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Classification and regression trees ( W adsworth, B elmont, CA )

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:38:13.053215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.303707Z digest=sha256:89e92beb7e2440d003477e158bd7a97512136a8adcd91da0fb6072a32a430d4f

Observation 579c854a-0c09-459e-9a6c-1165afab1e10 · outbound

This paper cites Random decision forests.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Random decision forests

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.307661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.307661Z digest=sha256:c95a8277f4d082770471ce81729a59e6f318e62cf3bf332c7fa701c2ac3e2135

Observation 477b8754-a289-4780-b8de-5b4ff68b60ea · outbound

This paper cites Support-vector networks.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Support-vector networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.311567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.311567Z digest=sha256:3338278f383bd0230d971effaa84cb4486c9d3249ac8362a0ad2a5d15c5985bf

Observation 4c02d31c-75b9-48d1-a933-86d8ebfff190 · outbound

This paper cites Least squares support vector machine classifiers.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Least squares support vector machine classifiers

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.315473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.315473Z digest=sha256:c9299dcba781d4447c049bd58ca84e1f0655d0f8d168acc0e67787ea66d6051a

Observation dbd817b7-e160-41fa-9cfd-92616144d259 · outbound

This paper cites Greedy function approximation: a gradient boosting machine.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Greedy function approximation: a gradient boosting machine

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.319317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.319317Z digest=sha256:0d7488b768021e61caee50b7177567909341833b92da33d7407055eb92bed296

Observation 7128d2ea-faf8-4ef4-89ab-ccb991a113ea · outbound

This paper cites XGB oost: A scalable tree boosting system.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting XGB oost: A scalable tree boosting system

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.323001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.323001Z digest=sha256:f3ed03e5e23e29f08c54b4fde52fd122c670c28655247a88c397a47e1f4b8941

Observation 894f3429-96c4-4ff8-86dc-bababa06fb05 · outbound

This paper cites Light GBM : A highly efficient gradient boosting decision tree.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Light GBM : A highly efficient gradient boosting decision tree

Reference 54

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.481023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.326640Z digest=sha256:cd4f7e5b4084e7654629a23e14969bf2dfe00b50e3410d9dd83200c963ddbe45

Observation 1b309780-0938-4110-8cac-a6d8ff418418 · outbound

This paper cites The perceptron: a probabilistic model for information storage and organization in the brain.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting The perceptron: a probabilistic model for information storage and organization in the brain

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.330441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.330441Z digest=sha256:009f6efd26bd5767dacc4984685b317589599742ab44e93f3aab56de1b2da25c

Observation 0d6e2a97-a1b9-4ef2-af74-bb5754a1cc69 · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.334369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.334369Z digest=sha256:172d0c5b7d0ff9bdfecefa436040e6910ab3bc9d8724a1360d2264c58e90eeb3

Observation b71a5148-d18f-4157-acb8-da5a84266c85 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Neural networks and physical systems with emergent collective computational abilities

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.338125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.338125Z digest=sha256:69c6ea323edddef6358fbc42cd9cd555051933fcbb54dcad7c3123b23e8bed29

Observation 751d7ef0-2931-4f6d-99c1-93dcf57cdbd8 · outbound

This paper cites Long short-term memory.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Long short-term memory

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.341977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.341977Z digest=sha256:7725b50de25139d3268b72dfc88e4ea6f59eb208266b9fabcc46d3dea583a9f4

Observation 41b3693f-f86f-4c02-abfd-3a9b559e0f34 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.346107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.346107Z digest=sha256:7972f0e3e66b54f3daacfde5f72b5cab168fef53f4cb453daa90e6f9bf2e01dc

Observation e626eb00-db38-4b1f-b0e7-1351f533ae00 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting WaveNet: A Generative Model for Raw Audio

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.350617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.350617Z digest=sha256:813b28c31985fe900d7148d76efb9d580e82f055a47021bf2e89f48c2d40cf7f

Observation ea2bc58e-33f1-4704-b1ec-7aacc1ca3444 · outbound

This paper cites An approach to online identification of T akagi- S ugeno fuzzy models.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An approach to online identification of T akagi- S ugeno fuzzy models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.354817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.354817Z digest=sha256:72cf8d64c1393a6cfa2d557e61c19d8e1b43bef2f41cf44df48199785e15416f

Observation 6950d354-73e0-43ac-8332-55906401dd46 · outbound

This paper cites Visualizing Orbital Content of Electronic Bands in Anisotropic 2D Semiconducting ReSe$_{2}$.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Visualizing Orbital Content of Electronic Bands in Anisotropic 2D Semiconducting ReSe$_{2}$

Reference 62

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T05:38:12.161804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.358459Z digest=sha256:ba640cbb878a2845dbf12b79010ab6800a9832dfdf47346249ce6a4f6a0eb18b

Observation 750b2e5e-d9b7-41c9-9e97-ef13e166b0df · outbound

This paper cites Evolving fuzzy systems from data streams in real-time.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Evolving fuzzy systems from data streams in real-time

Reference 63

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T05:38:12.145575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.362888Z digest=sha256:bd070b02994422a30d5cd7d9eafd311810b0f2c1e02fc2a74a27bb5b2246591d

Observation f02731df-534d-4780-8876-29fd829ce19e · outbound

This paper cites Evolving fuzzy modeling using participatory learning.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Evolving fuzzy modeling using participatory learning

Reference 64

Resolution
verified exact
doi, observed 2026-08-16T05:38:11.412774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.366561Z digest=sha256:b25701c622b12af73e87ad3daeeaa18843eb40b49a467804dc1c3d4b0168fc1a

Observation 437f2961-2dd2-426d-8c5a-d56a749a2ad4 · outbound

This paper cites Multivariable G aussian evolving fuzzy modeling system.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Multivariable G aussian evolving fuzzy modeling system

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.370129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.370129Z digest=sha256:bd2b410bf80469c700c5b8ae67d98b4539a4deae6ae3b4343c025309cddef051

Observation 36e728db-f003-4b12-b0b2-622b9946a3e9 · outbound

This paper cites An enhanced approach for evolving participatory learning fuzzy modeling.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An enhanced approach for evolving participatory learning fuzzy modeling

Reference 66

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T05:38:12.006234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T05:38:11.373896Z digest=sha256:a43854657a8e451c817c6b97450365a9dcbdf2169226984111c1d24c62dab9dd

Observation e23683c1-e41d-44cb-8e3b-ef7ecccfb751 · outbound

This paper cites A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers.

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:11.377759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:38:11.377759Z digest=sha256:9e8d810c70d7c094d673482565879a414587d710e14b041ba07c819add19c451

Pith citing papers

No inbound Pith citation observations are available.