Paper Citation Record · LEDGER

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.12834.

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

pith.paper-citation-record.v1
2412.12834 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:43:06.576264Z

measured 27 of 27 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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bae7ea52-33da-4adf-9e47-7b7a43f9a30c · outbound

This paper cites A review of machine learning in building load prediction,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A review of machine learning in building load prediction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:07.039125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 945575a4-db7d-4269-9580-dfa3276e1295 · outbound

This paper cites Research on short-term load prediction based on seq2seq model,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Research on short-term load prediction based on seq2seq model,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:07.024973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d3b54fc-4a72-48b3-aa0d-6b401efc89a1 · outbound

This paper cites Load demand forecasting of residen- tial buildings using a deep learning model,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Load demand forecasting of residen- tial buildings using a deep learning model,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:07.011078Z

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Observation a4c4df4b-1014-4eac-bf61-208f5d887b8e · outbound

This paper cites Real-time very short-term load prediction for power-system automatic generation control,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Real-time very short-term load prediction for power-system automatic generation control,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.996837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77580dfa-c235-4245-8fc9-9413196e55af · outbound

This paper cites Short-term load forecasting via arma model identification including non-gaussian process considerations,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Short-term load forecasting via arma model identification including non-gaussian process considerations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.970419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 652ff395-87cf-4a67-9f50-7cf1cab5d9bb · outbound

This paper cites Short-term load forecasting of industrial customers based on svmd and xgboost,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Short-term load forecasting of industrial customers based on svmd and xgboost,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.957318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 719a4b86-d9da-4033-8fbb-09342fe2235e · outbound

This paper cites Short-term electric load forecasting based on singular spectrum analysis and support vector machine opti- mized by cuckoo search algorithm,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Short-term electric load forecasting based on singular spectrum analysis and support vector machine opti- mized by cuckoo search algorithm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.944458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13f54c4e-de4b-4ea2-a13c-0f53bedeae95 · outbound

This paper cites A regional hybrid goa- svm model based on similar day approach for short-term load forecasting in assam, india,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A regional hybrid goa- svm model based on similar day approach for short-term load forecasting in assam, india,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.933823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation caba0939-07d5-4b95-82de-9e6ec2de5b48 · outbound

This paper cites Stacking ensemble learning for short-term electricity consumption forecasting,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Stacking ensemble learning for short-term electricity consumption forecasting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.923019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d670948f-0145-43b8-8af2-7c7b8d987e47 · outbound

This paper cites A short- term and high-resolution distribution system load forecasting approach using support vector regression with hybrid parameters optimization,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A short- term and high-resolution distribution system load forecasting approach using support vector regression with hybrid parameters optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.911597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9ef8c5a-5ff2-4157-83d2-a3f7cae08929 · outbound

This paper cites Robust deep gaussian process-based probabilistic electrical load fore- casting against anomalous events,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Robust deep gaussian process-based probabilistic electrical load fore- casting against anomalous events,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.899186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd342b2d-14da-432d-8b9c-0d45cab3d01e · outbound

This paper cites Gaussian process-aided transfer learning for probabilistic load forecasting against anomalous events,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Gaussian process-aided transfer learning for probabilistic load forecasting against anomalous events,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.886338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02070704-b96f-4af9-a9bf-81d8edf18ea4 · outbound

This paper cites Spatial-temporal residential short-term load forecasting via graph neural networks,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Spatial-temporal residential short-term load forecasting via graph neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.872640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d3a801d-f048-4e42-9da2-f1a5afb567a8 · outbound

This paper cites Short- term load forecasting by using a combined method of convolutional neural networks and fuzzy time series,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Short- term load forecasting by using a combined method of convolutional neural networks and fuzzy time series,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.858946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8faf34b9-d24c-4c87-adf2-57c0f80ab12e · outbound

This paper cites A deep model for short- term load forecasting applying a stacked autoencoder based on lstm supported by a multi-stage attention mechanism,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A deep model for short- term load forecasting applying a stacked autoencoder based on lstm supported by a multi-stage attention mechanism,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.847800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98bbb950-7314-4c80-9f98-8edb20f6264e · outbound

This paper cites Modeling load forecast un- certainty using generative adversarial networks,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Modeling load forecast un- certainty using generative adversarial networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.836116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3473f7f-3116-451c-82ff-43f312e2a0c6 · outbound

This paper cites A flow-based model for conditional and probabilistic electricity consumption profile generation and prediction,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A flow-based model for conditional and probabilistic electricity consumption profile generation and prediction,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:43:06.732482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9218df69-d74e-49fc-a183-b27bf54e683f · outbound

This paper cites Resi- dential electricity load scenario prediction based on transferable flow generation model,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Resi- dential electricity load scenario prediction based on transferable flow generation model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.823382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd6b1dc4-34ce-4b69-8782-5058200ef18f · outbound

This paper cites A compre- hensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A compre- hensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.810300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87ecb5bf-c42d-4187-8867-da9d36f733a6 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Chronos: Learning the Language of Time Series

Reference 20

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Observation 500f19f3-fbef-43dc-9910-bdf9bbb7bdc5 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction MOMENT: A Family of Open Time-series Foundation Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:43:06.552555Z

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Observation 3cc442e6-88a2-4b83-b67e-e1f1d2444a2a · outbound

This paper cites Lag-llama: Towards foundation models for probabilistic time series forecasting,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Lag-llama: Towards foundation models for probabilistic time series forecasting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.797747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc00a66d-0415-443c-9d24-4ea085f77c17 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction A decoder-only foundation model for time-series forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:43:06.559704Z

Source-reported events for the cited work

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Observation 2d882338-7047-4449-82df-a10f9060b345 · outbound

This paper cites TimeGPT-1.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction TimeGPT-1

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:43:06.563433Z

Source-reported events for the cited work

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Observation 9d70c7f2-eae8-495b-9d24-3c1ea1c44611 · outbound

This paper cites Smart meter data - london households,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Smart meter data - london households,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.777109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29d562cf-6c70-4128-a0e7-f4872c750334 · outbound

This paper cites Household data - open power system data,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Household data - open power system data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.756869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fe17d79-b1ae-46f9-a507-0b27f5eb896a · outbound

This paper cites Liander open data,.

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction Liander open data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:43:06.745363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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