Enhancing PV power forecasting through feature selection and artificial neural networks: a case study
Mokhtar Ali(Ziane Achour University of Djelfa), Takele Ferede Agajie(University of Buea), Abdelkerim Souahlia(Ziane Achour University of Djelfa), M. Benghanem(Islamic University of Madinah), Abdelaziz Rabehi(Ziane Achour University of Djelfa), Imad Eddine Tibermacine(Sapienza University of Rome), Abdelhalim Rabehi(Ziane Achour University of Djelfa), Ali Teta(Ziane Achour University of Djelfa), Mawloud Guermoui(Renewable Energy Development Center)
Cited by 22
Related Papers
A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems
|Energies|2023|185
Reliability enhancement and voltage profile improvement of distribution network using optimal capacity allocation and placement of distributed energy resources
|Computers & Electrical Engineering|2021|82
Optimal Modeling and Feasibility Analysis of Grid-Interfaced Solar PV/Wind/Pumped Hydro Energy Storage Based Hybrid System
|Sustainability|2023|80