Paper Citation Record · LEDGER

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.22590.

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

pith.paper-citation-record.v1
2607.22590 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:51:04.909028Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

31 of 31 outbound references displayed

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unresolved31
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External citation measurements

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Outbound references

Observation 97470cce-2fe8-4997-90e5-98500b66120a · outbound

This paper cites Overview of demand-response services: A review,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Overview of demand-response services: A review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:02.605680Z

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Observation ef398aae-f5d1-4ddf-b497-69d585b03b37 · outbound

This paper cites Impacts of digitalization on smart grids, renewable energy, and demand response: An updated review of current applica- tions,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Impacts of digitalization on smart grids, renewable energy, and demand response: An updated review of current applica- tions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:02.697714Z

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Observation a35f0334-e4de-487b-b61e-599525e9c8b3 · outbound

This paper cites Ai-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Ai-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:02.791491Z

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Observation 38976dbf-36c9-4534-b67e-7ef7bcd614c9 · outbound

This paper cites Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:02.893765Z

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Observation cd9e0ef6-fea8-429d-a838-d91ee23daf27 · outbound

This paper cites Minlp probabilistic scheduling model for demand response programs integrated energy hubs,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Minlp probabilistic scheduling model for demand response programs integrated energy hubs,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:02.981397Z

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Unavailable: canonical work link unavailable.

Observation bd4dc75e-d646-403b-977e-264693ab81aa · outbound

This paper cites Residential demand response scheduling with multiclass appliances in the smart grid,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Residential demand response scheduling with multiclass appliances in the smart grid,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.110484Z

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Observation 25c21937-dd29-4e91-9dde-9cb1006ddc4e · outbound

This paper cites Eshraghi, G.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Eshraghi, G

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.207449Z

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Observation 46b1a909-5fbb-4d3c-9750-7b5d5cea635e · outbound

This paper cites A multi-objective demand response optimization model for scheduling loads in a home energy management system,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids A multi-objective demand response optimization model for scheduling loads in a home energy management system,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.290480Z

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Observation a95f3b91-36bd-4e2d-bc77-cf3b691c140e · outbound

This paper cites Online transfer learning-based residential demand response potential forecasting for load aggregator,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Online transfer learning-based residential demand response potential forecasting for load aggregator,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.374804Z

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Observation f81dca1d-3335-4b56-8a09-ddaf7badd42b · outbound

This paper cites Integration of demand response and short-term forecasting for the management of prosumers’ demand and generation,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Integration of demand response and short-term forecasting for the management of prosumers’ demand and generation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.435755Z

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Observation a4e1713d-8ee3-45f8-b77a-8441a97fc83e · outbound

This paper cites Day- ahead demand response potential prediction in residential buildings with hitskan: A fusion of kolmogorov-arnold networks and n-hits,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Day- ahead demand response potential prediction in residential buildings with hitskan: A fusion of kolmogorov-arnold networks and n-hits,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.497006Z

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Observation 7d981ab9-46ad-4710-8c20-429c8f593c5e · outbound

This paper cites Applications of probabilistic forecasting in demand response,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Applications of probabilistic forecasting in demand response,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.588759Z

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Observation 1e4e80c4-6648-42a5-a8ae-2e2c61b44796 · outbound

This paper cites Comprehensive Forecasting of California's Energy Consumption: A Multi-Source and Sectoral Analysis Using ARIMA and ARIMAX Models.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Comprehensive Forecasting of California's Energy Consumption: A Multi-Source and Sectoral Analysis Using ARIMA and ARIMAX Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.666133Z

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Observation 289aa1ac-0b3e-4185-88ae-9836f9db0bd9 · outbound

This paper cites Time-series clustering and forecasting household electricity demand using smart meter data,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Time-series clustering and forecasting household electricity demand using smart meter data,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.726519Z

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Observation d1ed0b20-ecae-45c5-9069-2c672539fc0c · outbound

This paper cites Nonlinear arimax model for long–term sectoral demand forecasting,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Nonlinear arimax model for long–term sectoral demand forecasting,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.806391Z

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Observation 58aee59f-6cb4-47be-9404-7cb7b7a0d26a · outbound

This paper cites Short-term load forecasting based on deep learning for end-user transformer subject to volatile electric heating loads,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Short-term load forecasting based on deep learning for end-user transformer subject to volatile electric heating loads,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.891445Z

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Observation f57b5187-9ba1-41de-bcfa-2ab22da40942 · outbound

This paper cites An approach for demand forecasting in steel industries using ensemble learning,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids An approach for demand forecasting in steel industries using ensemble learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:03.941039Z

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Observation e15e6c04-5747-4096-89be-32fe270935b6 · outbound

This paper cites Enhancing short-term probabilistic load forecasting and scenario generation with tailored kernel functions in mixture density networks,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Enhancing short-term probabilistic load forecasting and scenario generation with tailored kernel functions in mixture density networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.026178Z

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Observation 7e6b677a-cbc0-4dec-98b1-273e64125c53 · outbound

This paper cites Enhancing peak electricity demand forecasting for commercial build- ings using novel lstm loss functions,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Enhancing peak electricity demand forecasting for commercial build- ings using novel lstm loss functions,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.092295Z

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Observation c40f74df-bd3e-4b8a-ad5b-6f4c557772dd · outbound

This paper cites Predicting electricity con- sumption for commercial and residential buildings using deep recurrent neural networks,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Predicting electricity con- sumption for commercial and residential buildings using deep recurrent neural networks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.143329Z

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Observation 58803b6d-927a-4325-b1dc-d4c1785d3b3f · outbound

This paper cites A short-term load forecasting model of lstm neural network considering demand response,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids A short-term load forecasting model of lstm neural network considering demand response,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.225979Z

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Observation b953c2c0-788c-4ede-8dcf-8a119df024e9 · outbound

This paper cites A transformer based approach to electricity load forecasting,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids A transformer based approach to electricity load forecasting,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.308706Z

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Unavailable: canonical work link unavailable.

Observation f05e2d46-227f-4127-9206-61c62ec8e603 · outbound

This paper cites Short-term load forecasting based on the transformer model,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Short-term load forecasting based on the transformer model,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.395477Z

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Observation 95360e52-569a-40ae-a65a-29c3f0156efd · outbound

This paper cites Stacked hybrid model for load forecasting: integrating transformers, ann, and fuzzy logic,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Stacked hybrid model for load forecasting: integrating transformers, ann, and fuzzy logic,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.484247Z

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Observation 71baf28b-1f49-4888-87d6-9725bed2536a · outbound

This paper cites Short-term electricity grid maximum demand forecasting with the arimax-svr machine learning hybrid model,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Short-term electricity grid maximum demand forecasting with the arimax-svr machine learning hybrid model,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.544046Z

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Observation 43e3593d-83c9-40e5-8d3d-fb5c98c78b09 · outbound

This paper cites A hybrid model based on selective ensemble for energy consumption forecasting in china,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids A hybrid model based on selective ensemble for energy consumption forecasting in china,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.605723Z

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Observation 63d20a03-6eea-43b7-8afb-3b26f48077de · outbound

This paper cites Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.661939Z

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Observation e84f46a4-17e6-4305-aa2a-22924fe17ac6 · outbound

This paper cites TimeGPT-1.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids TimeGPT-1

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.712673Z

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Observation 73440ec1-a74f-4267-adee-e1982f1bc21d · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.773200Z

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Observation 31468342-17bf-4e2e-8a2b-f78cf772fa94 · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.821856Z

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Observation 25eb6e0a-de9d-456b-9189-4a372fe41c33 · outbound

This paper cites Notice on issuing the{Power Demand Side Management Measures (2023 Edition)},.

DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids Notice on issuing the{Power Demand Side Management Measures (2023 Edition)},

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:04.909028Z

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Pith citing papers

No inbound Pith citation observations are available.