Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data

Research article (Sustainable Cities and Society, 2022) · cited 26× · AI/ML
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Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data

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Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterizing-residential-load-patterns-on-multi-time-scales-utilizing-lstm-autoencoder-and-electricity-consumption-dat
MLA “Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterizing-residential-load-patterns-on-multi-time-scales-utilizing-lstm-autoencoder-and-electricity-consumption-dat.
BibTeX @misc{4ortxyz_characterizing-residential-load-patterns-on-multi-time-scales-utilizing-lstm-autoencoder-and-electricity-consumption-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data}}, year = {2026}, url = {https://4ort.xyz/entity/characterizing-residential-load-patterns-on-multi-time-scales-utilizing-lstm-autoencoder-and-electricity-consumption-dat}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data — https://4ort.xyz/entity/characterizing-residential-load-patterns-on-multi-time-scales-utilizing-lstm-autoencoder-and-electricity-consumption-dat (retrieved 2026-05-24)

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