Paper Citation Record · LEDGER

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances

As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2604.24766.

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

pith.paper-citation-record.v1
2604.24766 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T18:48:24.193025Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T13:04:17.563538Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy32
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e61f4b10-2aa2-45c2-84cf-e7088157aa12 · outbound

This paper cites Electric vehicle route optimization considering time-of-use electricity price by learnable partheno-genetic algorithm.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Electric vehicle route optimization considering time-of-use electricity price by learnable partheno-genetic algorithm

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.659996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cf20a1c-f182-4438-92d8-890be1e870ff · outbound

This paper cites Robustly coordinated operation of a multi-energy microgrid with flexible electric and thermal loads.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Robustly coordinated operation of a multi-energy microgrid with flexible electric and thermal loads

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.633233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91e8d77e-b627-4ee0-8b60-925c6ec63987 · outbound

This paper cites Traffic processing and fingerprint generation for smart home device event.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Traffic processing and fingerprint generation for smart home device event

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.576582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f4d7bc1-8434-4606-8ecd-de53eedcd309 · outbound

This paper cites Secoinfer: Secure dnn end-edge collaborative inference framework optimizing privacy and latency.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Secoinfer: Secure dnn end-edge collaborative inference framework optimizing privacy and latency

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.556073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3fb3c6d-ca85-467b-8773-e2bf1cf5fd03 · outbound

This paper cites Trafficdiary: User attribute inference based on smart home traffic traces.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Trafficdiary: User attribute inference based on smart home traffic traces

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.642914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38c65dff-ad39-403d-93fd-9a14687fe314 · outbound

This paper cites A cost optimized-reliable- resilient-realtime-rule-based energy management scheme for a spv-bes- based microgrid for smart building applications.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A cost optimized-reliable- resilient-realtime-rule-based energy management scheme for a spv-bes- based microgrid for smart building applications

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.623609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07af7faa-464b-4026-881c-f51ba41fee93 · outbound

This paper cites Deciding when to use a personalized model for load forecasting.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Deciding when to use a personalized model for load forecasting

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.552140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d36efa5-4b81-4e91-b50e-26ad51f83243 · outbound

This paper cites Improving model general- ization for short-term customer load forecasting with causal inference.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Improving model general- ization for short-term customer load forecasting with causal inference

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.600758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a10e160-2a40-4849-bd4b-15361ad23e09 · outbound

This paper cites A short-term load forecasting method using integrated cnn and lstm network.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A short-term load forecasting method using integrated cnn and lstm network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.664004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4ef479d-4939-49ad-b633-212b02b945c7 · outbound

This paper cites A novel temporal feature selection based lstm model for electrical short- term load forecasting.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A novel temporal feature selection based lstm model for electrical short- term load forecasting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.564244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf881846-6af2-4439-a2a2-c16e284f1181 · outbound

This paper cites Short-term load forecasting based on lstm networks considering attention mechanism.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term load forecasting based on lstm networks considering attention mechanism

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.591090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8fab2b91-81a1-4af3-80f4-6138e3d4b385 · outbound

This paper cites Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.595746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22989723-132a-46bc-9a59-f281e8bc6356 · outbound

This paper cites Short-term load forecasting in smart grids using hybrid deep learning.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term load forecasting in smart grids using hybrid deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.618751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96465894-2ea2-4741-a06d-e0a5358e1ecb · outbound

This paper cites Sac-convlstm: A novel spatio-temporal deep learning-based approach for a short term power load forecasting.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Sac-convlstm: A novel spatio-temporal deep learning-based approach for a short term power load forecasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.581479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e5b269a-4154-4420-b8d5-4d411b08c78b · outbound

This paper cites Houseec: Day-ahead household electrical energy consumption forecasting using deep learning.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Houseec: Day-ahead household electrical energy consumption forecasting using deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.609769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f5105556-9693-4b95-8ae6-9b6ee73e6738 · outbound

This paper cites A combined deep learning load forecasting model of single household resident user considering multi-time scale electricity consumption behavior.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A combined deep learning load forecasting model of single household resident user considering multi-time scale electricity consumption behavior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.690421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec18f62b-a5f0-4393-91c8-0e542a63ba53 · outbound

This paper cites Hybrid multitask multi-information fusion deep learning for household short-term load forecasting.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Hybrid multitask multi-information fusion deep learning for household short-term load forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.586792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06f84f39-d036-402e-bc13-bac090dcce78 · outbound

This paper cites Short-term residential load forecasting with baseline-refinement profiles and bi- attention mechanism.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term residential load forecasting with baseline-refinement profiles and bi- attention mechanism

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.614265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 89c739fb-fc59-4eba-a82a-86b5116b427d · outbound

This paper cites Residential appliance-level load fore- casting with deep learning.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Residential appliance-level load fore- casting with deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.677605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f05f1be-9807-4dde-81be-985cc3f3b915 · outbound

This paper cites Ap- pliance level short-term load forecasting via recurrent neural network.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Ap- pliance level short-term load forecasting via recurrent neural network

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.572279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80b1bea6-91f0-4161-a0b0-fac605b5cc32 · outbound

This paper cites Short- term load forecasting for smart home appliances with sequence to sequence learning.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short- term load forecasting for smart home appliances with sequence to sequence learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.560293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 56dca0fe-139f-4109-a643-70f75e2166e2 · outbound

This paper cites Home appliance load forecasting based on improved informer.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Home appliance load forecasting based on improved informer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.652683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa2d9785-814c-415b-a026-501f18e4cf54 · outbound

This paper cites A bottom-up model for household load profile based on the consumption behavior of residents.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A bottom-up model for household load profile based on the consumption behavior of residents

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.656102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49b51640-db85-4dbd-a919-cc3872274da2 · outbound

This paper cites A kalman filter-based bottom-up approach for household short-term load forecast.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A kalman filter-based bottom-up approach for household short-term load forecast

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.647222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3659827d-2794-4e62-a42d-1f5421387060 · outbound

This paper cites A bottom-up short-term residential load forecasting approach based on appliance characteristic analysis and multi-task learning.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A bottom-up short-term residential load forecasting approach based on appliance characteristic analysis and multi-task learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.547350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d2e9ab88-e493-42dc-9b64-2bf7e5bca888 · outbound

This paper cites Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.669852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e05f1981-52b8-4e79-acc8-31b4d2082236 · outbound

This paper cites The uk-dale dataset, domestic appliance- level electricity demand and whole-house demand from five uk homes.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances The uk-dale dataset, domestic appliance- level electricity demand and whole-house demand from five uk homes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.628266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff558c73-9477-4944-8ded-aba03474538a · outbound

This paper cites A comprehensive review on deep learning approaches for short-term load forecasting.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances A comprehensive review on deep learning approaches for short-term load forecasting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.542992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50c5ffbf-1dad-439f-9e93-39fa720a5110 · outbound

This paper cites Short-term load forecasting: A comprehensive review and simulation study with cnn-lstm hybrids approach.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term load forecasting: A comprehensive review and simulation study with cnn-lstm hybrids approach

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.637886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f49fda8-7629-4d0f-8117-451f28caec9b · outbound

This paper cites Review of family- level short-term load forecasting and its application in household energy management system.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Review of family- level short-term load forecasting and its application in household energy management system

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.684931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b812e99-2391-42ee-bc92-29cb7a5afd40 · outbound

This paper cites Short-term load forecasting models: A review of challenges, progress, and the road ahead.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term load forecasting models: A review of challenges, progress, and the road ahead

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.604922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f957d6de-b674-47ec-a047-f3d2c222eaa2 · outbound

This paper cites Short-term load forecasting of electricity demand for the residential sector based on modelling techniques: a systematic review.

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances Short-term load forecasting of electricity demand for the residential sector based on modelling techniques: a systematic review

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T03:40:55.568342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 1a4c9716-0ca8-417a-9b3c-c0dc23ee17e9 · inbound

Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts cites this paper.

Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T13:04:17.563538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.