Paper Citation Record · LEDGER

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids

As of 12 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.15254.

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

pith.paper-citation-record.v1
2411.15254 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:57:09.181691Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0f41896-efb9-44f8-b0ba-1ea80141ff86 · outbound

This paper cites Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.424569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dad146e9-e052-43ed-a512-306ef7523215 · outbound

This paper cites Data-driven online energy management framework for HV AC systems: An experimental study,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Data-driven online energy management framework for HV AC systems: An experimental study,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.406319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ca54e77-06d6-41a1-b72b-751f3050cdf9 · outbound

This paper cites Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:57:09.228264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 561f9864-a251-4115-adaa-2497c8bf951c · outbound

This paper cites Multi-node load forecasting based on multi-task learning with modal feature extraction,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Multi-node load forecasting based on multi-task learning with modal feature extraction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.389621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49d60c6c-bafd-409f-ae57-db8fa05d95f0 · outbound

This paper cites Power load forecasting using bilstm-attention,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Power load forecasting using bilstm-attention,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.372107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d0d109d-e683-4392-a494-306d6bba9fcd · outbound

This paper cites Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.354995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f288d04-c217-4d01-b4d3-54d884c41d57 · outbound

This paper cites MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.338751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 82d5df31-2b4f-4f9b-9804-0f69e2788e4d · outbound

This paper cites Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:09.157255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223683c5-525e-4e12-849b-4b75ef27925c · outbound

This paper cites Fred- former: Frequency Debiased Transformer for Time Series Forecasting,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Fred- former: Frequency Debiased Transformer for Time Series Forecasting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.309172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0a089fa-4988-4d72-9a4f-6da6eb0270e3 · outbound

This paper cites Frednormer: Frequency domain normalization for non-stationary time series forecast- ing,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Frednormer: Frequency domain normalization for non-stationary time series forecast- ing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.292180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3563ee0f-1b76-4ab9-bdcd-f3e4a1840a50 · outbound

This paper cites Multi-timescale op- timization scheduling of regional integrated energy system based on source-load joint forecasting,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Multi-timescale op- timization scheduling of regional integrated energy system based on source-load joint forecasting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.275996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c30869e-270d-4df4-aa0d-f1d6458a665a · outbound

This paper cites Multi-time scale energy management strategy for flexible traction power supply system,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Multi-time scale energy management strategy for flexible traction power supply system,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.260615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2f3166d-8291-48b5-b7fd-71b03c678d05 · outbound

This paper cites Research on multi-time scale integrated energy scheduling optimization considering carbon constraints,.

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids Research on multi-time scale integrated energy scheduling optimization considering carbon constraints,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:09.244993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.