Work

Improving the Efficiency of Solar Power Plants Based on Forecasting the Intensity of Solar Radiation Using Artificial Neural Networks

Year: 2021

Type: conference-paper

Source: IEEE KhPI Week on Advanced Technology (KhPIWeek)

DOI: 10.1109/khpiweek53812.2021.9570009

Authors: Oleksandr Savchenko, Oleksandr Miroshnyk, Oleksandr Moroz, Iryna Trunova, Anatolii Sereda, Sergii Dudnikov, Oleksandr Kozlovskyi, Roman Buinyi, Serhii Halko

Institutions: Kharkiv Petro Vasylenko National Technical University of Agriculture, Central Ukrainian National Technical University, Chernihiv Polytechnic National University, Dmytro Motornyi Tavria State Agrotechnological University

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W3209735650

FWCI: 6.045

Cites: 7

Cited by: 26

Related to: 10