Comparison and application potential analysis of autoencoder-based electricity pattern mining algorithms for large-scale demand response
Tong Li, Zhaohua Wang, Wenhui Zhao
| Year of publication: |
2022
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|---|---|
| Authors: | Li, Tong ; Wang, Zhaohua ; Zhao, Wenhui |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 177.2022, p. 1-14
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| Subject: | Autoencoder | Clustering | Demand side management | Electricity consumption behavior pattern | Smart grid | Elektrizität | Electricity | Energiekonsum | Energy consumption | Elektrizitätswirtschaft | Electric power industry | Strompreis | Electricity price | Konsumentenverhalten | Consumer behaviour | Nachfrage | Demand | Energieeinsparung | Energy conservation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2022.121523 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013342890