Energies (Basel), 2022-09, Vol.15 (18), p.6651
2022
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Details
- Autor(en) / Beteiligte
- Titel
- Artificial Intelligence Approaches for Energies
- Ist Teil von
- Energies (Basel), 2022-09, Vol.15 (18), p.6651
- Ort / Verlag
- Basel: MDPI AG
- Erscheinungsjahr
- 2022
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- In recent years, it has been noted that deep learning, machine learning, and artificial intelligence models are growing in popularity when applying big data for energy control and decision-making processes [...]
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1996-1073eISSN: 1996-1073DOI: 10.3390/en15186651Titel-ID: cdi_doaj_primary_oai_doaj_org_article_e2d9a667e07e4510968df57d6aa66fed
- Format
- –
- Schlagworte
- Air conditioners, Air conditioning, Alternative energy sources, Artificial intelligence, Automobile industry, Big Data, Buses, Conflicts of interest, Deep learning, Driving ability, Efficiency, Emissions, Energy conservation, Energy consumption, Energy loss, Energy management, Forecasting, Methods, n/a, Prediction models, Renewable resources, Scheduling, Simulation