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Paper Citation Record · LEDGER

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.07423.

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

pith.paper-citation-record.v1
2501.07423 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:44:56.810453Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

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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

17 of 17 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26bacac5-1670-48c9-ac3b-23b576f5011a · outbound

This paper cites Year-end data: Electricity demand in ontario,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Year-end data: Electricity demand in ontario,

Reference 1

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Observation f1c4ec92-8f60-4abc-b85a-9959febb472f · outbound

This paper cites (2013) World energy scenarios: Composing energy futures to 2050 - executive summary.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences (2013) World energy scenarios: Composing energy futures to 2050 - executive summary

Reference 2

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Observation bce454eb-d883-4207-a20e-e00c9888311e · outbound

This paper cites Vegh and I.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Vegh and I

Reference 3

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Observation 4ffcf9d9-cce3-4883-a33c-e3f34930198e · outbound

This paper cites The impact of covid-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of qatar,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences The impact of covid-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of qatar,

Reference 4

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Observation dfc7465f-d0a0-4917-9e84-c4ce15b83d2e · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 5

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Source-reported events for the cited work

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Observation 99d3eeb8-29b3-4f99-a1a2-67a0ca9a1106 · outbound

This paper cites AR-Net: A simple Auto-Regressive Neural Network for time-series.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences AR-Net: A simple Auto-Regressive Neural Network for time-series

Reference 6

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Observation b2df623a-737d-455c-bc6b-4134fbdf20e6 · outbound

This paper cites Temporal convolutional networks applied to energy-related time series forecasting,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Temporal convolutional networks applied to energy-related time series forecasting,

Reference 7

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Source-reported events for the cited work

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Observation 14b84fc6-0bb0-41c4-8c07-b23c4424058c · outbound

This paper cites Minirocket: A very fast (almost) deterministic transform for time series classification,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Minirocket: A very fast (almost) deterministic transform for time series classification,

Reference 8

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Source-reported events for the cited work

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Observation 5bfad0e1-174a-4a92-bdcd-684975cc9e98 · outbound

This paper cites Forecasting methods in energy planning models,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Forecasting methods in energy planning models,

Reference 9

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Source-reported events for the cited work

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Observation 3547d3a9-549d-4e34-993c-0db8155d4b89 · outbound

This paper cites Survey on renewable energy forecasting using different techniques,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Survey on renewable energy forecasting using different techniques,

Reference 10

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Observation e150c5b0-7332-4a72-8074-56935e1bf59e · outbound

This paper cites Attention is all you need,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Attention is all you need,

Reference 11

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Source-reported events for the cited work

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Observation 505bf6e1-910a-4bc4-8a9f-e55e5d2d7b4d · outbound

This paper cites Transformer-based model for electrical load forecasting,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Transformer-based model for electrical load forecasting,

Reference 12

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Source-reported events for the cited work

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Observation a9c9f3a2-89f4-49e9-84c4-622e778c5985 · outbound

This paper cites A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting,

Reference 13

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Observation 9acc2083-1053-42d6-a97f-03b2e747fb4d · outbound

This paper cites Tsfel: Time series feature extrac- tion library,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Tsfel: Time series feature extrac- tion library,

Reference 14

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Source-reported events for the cited work

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Observation 065f1f13-4117-4b65-9f1a-e36ea4dc4a56 · outbound

This paper cites Time series feature extraction for data mining using dwt and dft,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Time series feature extraction for data mining using dwt and dft,

Reference 15

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Source-reported events for the cited work

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Observation 684dc42c-ed8d-4a14-9b0a-efeeac626c33 · outbound

This paper cites Residential load profile clustering via deep convolutional autoencoder,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Residential load profile clustering via deep convolutional autoencoder,

Reference 16

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Source-reported events for the cited work

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Observation 57e865a4-c278-4acf-8ddd-323b81d86f70 · outbound

This paper cites A novel deep learning architecture and minirocket feature extraction method for human activity recognition using ecg, ppg and inertial sensor dataset,.

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences A novel deep learning architecture and minirocket feature extraction method for human activity recognition using ecg, ppg and inertial sensor dataset,

Reference 17

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.