Capturing features of hourly-resolution energy models through statistical annual indicators

Research article (Renewable Energy, 2022) · cited 16× · AI/ML
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Capturing features of hourly-resolution energy models through statistical annual indicators

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Capturing features of hourly-resolution energy models through statistical annual indicators is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Capturing features of hourly-resolution energy models through statistical annual indicators. Retrieved May 24, 2026, from https://4ort.xyz/entity/capturing-features-of-hourly-resolution-energy-models-through-statistical-annual-indicators
MLA “Capturing features of hourly-resolution energy models through statistical annual indicators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/capturing-features-of-hourly-resolution-energy-models-through-statistical-annual-indicators.
BibTeX @misc{4ortxyz_capturing-features-of-hourly-resolution-energy-models-through-statistical-annual-indicators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Capturing features of hourly-resolution energy models through statistical annual indicators}}, year = {2026}, url = {https://4ort.xyz/entity/capturing-features-of-hourly-resolution-energy-models-through-statistical-annual-indicators}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Capturing features of hourly-resolution energy models through statistical annual indicators — https://4ort.xyz/entity/capturing-features-of-hourly-resolution-energy-models-through-statistical-annual-indicators (retrieved 2026-05-24)

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