Predicting the output of a PV plant
Energy market players (investors, power producers, grid operators, consumers, etc.) are facing potential challenges such as the growing demand for energy, new patterns of energy consumption, the integration of (intermittent) renewable energy sources into power grids and the evolution of power grids.This book investigates the possibility of predicting the production of a self-consuming photovoltaic installation by artificial neural networks. We cross-compared two neural network architectures (looped and unlooped) with respect to multivariate regression in order to have an efficient and reliable tool for predicting the production of a PV instal…
Mehr
CHF 60.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V106:
Fremdlagertitel. Lieferzeit unbestimmt
Produktdetails
Weitere Autoren: Diallo, Mamadou Salif
- ISBN: 978-620-3-35420-1
- EAN: 9786203354201
- Produktnummer: 35991946
- Verlag: Lightning Source Inc
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 64 S.
- Masse: H22.0 cm x B15.0 cm x D0.4 cm 113 g
- Gewicht: 113
Über den Autor
Engenheiro investigador especializado em energias renováveis e sistemas inteligentes. Licenciado em Tecnologia Solar Aplicada pela Universidade de Ouagadougou (Burkina Faso) e Mestre em Investigação pela Escola Politécnica de Thiès (Senegal). Áreas de investigação: Energias renováveis - Sistemas inteligentes - IA & Machine Learning.
5 weitere Werke von Abdou Aziz Cissé:
Bewertungen
Anmelden