Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:40:29.408820Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.20587.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:40:29.408820Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a802f9b8-7f7a-43fa-bb86-f05a1704ebcb · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Energy forecasting: A review and outlook,
Reference 1
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Observation 98097ad8-a795-4c0d-a03b-9177750458d7 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting DiffLoad: Uncertainty quantification in electrical load forecasting with the diffusion model,
Reference 2
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Observation c94b2966-5654-41f2-8429-407b4e2a4b15 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
Reference 3
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Observation 347a776c-6112-4f93-bd4a-20bb87775b7e · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Probabilistic electric load forecasting: A tutorial review,
Reference 4
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Observation 6cdd2da3-d4de-4d44-ab25-c79bcee31741 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Day-ahead electricity price forecasting using the wavelet transform and ARIMA models,
Reference 5
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Observation f849dae8-99be-4b76-8d5b-5d9608944bbe · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Short-term load forecasting based on a semi-parametric additive model,
Reference 6
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Observation 0a77d0a7-61f3-4e2d-8cbc-4c3c9795f4bb · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Assessment of forecasting techniques for solar power production with no exogenous inputs,
Reference 7
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Observation abd5ad7e-ead0-4803-902a-2fcaeb86926c · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Current methods and advances in forecasting of wind power generation,
Reference 8
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Observation e3222e1d-88d8-4ccd-9224-5c8b0af62392 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Short-term residential load forecasting based on LSTM recurrent neural network,
Reference 9
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Observation 984b2886-323b-41e6-aa30-9bedddd2655f · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Attention-based neural load forecasting: A dynamic feature selection approach,
Reference 10
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Observation 58b8e46e-b6ab-49a0-81d4-b5f300c373d1 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting DeepAR: Probabilistic forecasting with autoregressive recurrent networks,
Reference 11
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Observation b735ac71-280b-4d11-9743-12fd71c450fb · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network,
Reference 12
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Observation d8ade5f6-80af-470e-b8a2-6e882068473b · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,
Reference 13
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Observation ce084193-d5ff-4fa4-bcb1-c4c4a52d0c9c · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting A time series is worth 64 words: Long-term forecasting with transformers,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 5d32e6d9-95bd-43ad-b8ee-a793143701db · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Mamba: Linear-time sequence modeling with selective state spaces,
Reference 15
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Observation a4ff6331-b01e-4749-81b2-3c04f7fd9e57 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting KARMA: A multilevel decomposition hybrid Mamba framework for multivariate long-term time series forecasting,
Reference 16
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Observation 7d217ce6-4e20-43c2-8edd-1c2df4ba3e5c · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Unresolved cited work
Reference 17
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Observation 5dd0e909-6044-4bab-8807-6fa5ef72280d · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting An adaptive hybrid model for short term electricity price forecasting,
Reference 18
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Observation 164e74f6-23e4-467f-810f-2cde94f78dc6 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Deep neural network for forecasting of photovoltaic power based on wavelet packet decomposition with similar day analysis,
Reference 19
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Observation 667e18f2-4524-46ed-9bed-39dfda7c666d · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Are transformers effective for time series forecasting?
Reference 20
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Observation c0f26959-8bc2-4487-8a90-cad3341287aa · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting TADNet: Temporal attention decomposition networks for probabilistic energy forecasting,
Reference 21
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Observation 867beab9-adeb-4890-b049-38fb27b12551 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting A semi-empirical approach using gradient boost- ing and k-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting,
Reference 22
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Observation d317100e-6984-42e2-bf19-94f90593db24 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Probabilistic solar power forecasting based on weather scenario generation,
Reference 23
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Observation b305d1dd-942d-4e75-b3e8-1a5bb0097900 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Weather-informed probabilistic forecasting and scenario generation in power systems,
Reference 24
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Observation 92d0af61-4272-4154-91b3-6ffa13241adf · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Multi-source and temporal attention network for probabilistic wind power prediction,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 56d88a1a-d3ea-46b3-bd88-58d9bc60990b · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Temporal fusion transformers for interpretable multi-horizon time series forecasting,
Reference 26
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Observation 7a764b1f-371d-4bdb-8236-c44f2413401f · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Adaptive probabilistic forecasting of electricity (net-) load,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 2991b162-7aa0-48cd-9f56-e56f1f3b3b79 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting TimeXer: Empowering transformers for time series forecasting with exogenous variables,
Reference 28
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Observation 4004a43d-d413-4598-9eee-4398bde6b97e · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review,
Reference 29
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Observation 78a13398-b2e0-4a0b-b473-9d98fa185360 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting CRPS learning,
Reference 30
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Observation bd928333-3a27-4c5c-b5f3-7b5b5a9e8ecf · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting A new approach to linear filtering and prediction problems,
Reference 31
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Observation a4ff507a-cada-4f28-a781-1f20a03c2b78 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Efficiently Modeling Long Sequences with Structured State Spaces
Reference 32
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Observation 24ee0fbe-d83f-4d2f-8999-96707e89bf84 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Reversible instance normalization for accurate time-series forecasting against distribution shift,
Reference 33
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Observation db153404-ed57-4477-ac6c-f1270f9ebdd6 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Attention is all you need,
Reference 34
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Observation 36ee773a-b37b-4372-82f6-5f6bf6a15684 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting A theory for multiresolution signal decomposition: the wavelet representation,
Reference 35
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Observation 53430ffe-6c79-43cc-b663-5e2462da02d8 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Root mean square layer normalization,
Reference 36
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Observation fdd8eb31-8742-4bdf-803e-90c802a70224 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting FreDF: Learning to forecast in the frequency domain,
Reference 37
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Observation ef64e309-a269-4a96-943a-193af54582be · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting ElectricityLoadDiagrams20112014,
Reference 38
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Observation 1363b09a-9c24-4d43-be60-ba54e17667ca · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Open power system data–frictionless data for electricity system modelling,
Reference 39
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Observation f257c18e-eddd-46f4-a687-c628f1e84102 · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond,
Reference 40
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Observation f84cd8d4-b232-4efa-b2a1-5a69adee39fb · outbound
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting Long-term forecasting with TiDE: Time-series dense encoder,
Reference 41
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No inbound Pith citation observations are available.