Extreme events in time series aggregation: A case study for optimal residential energy supply systems

Research article (Applied Energy, 2020) · cited 58× · AI/ML
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Extreme events in time series aggregation: A case study for optimal residential energy supply systems

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Extreme events in time series aggregation: A case study for optimal residential energy supply systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extreme events in time series aggregation: A case study for optimal residential energy supply systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/extreme-events-in-time-series-aggregation-a-case-study-for-optimal-residential-energy-supply-systems
MLA “Extreme events in time series aggregation: A case study for optimal residential energy supply systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extreme-events-in-time-series-aggregation-a-case-study-for-optimal-residential-energy-supply-systems.
BibTeX @misc{4ortxyz_extreme-events-in-time-series-aggregation-a-case-study-for-optimal-residential-energy-supply-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extreme events in time series aggregation: A case study for optimal residential energy supply systems}}, year = {2026}, url = {https://4ort.xyz/entity/extreme-events-in-time-series-aggregation-a-case-study-for-optimal-residential-energy-supply-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extreme events in time series aggregation: A case study for optimal residential energy supply systems — https://4ort.xyz/entity/extreme-events-in-time-series-aggregation-a-case-study-for-optimal-residential-energy-supply-systems (retrieved 2026-05-24)

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