Forecasting generation of 50MW Gambang large scale solar photovoltaic plant using artificial neural network-particle swarm optimization. International Journal of Renewable Energy Research-IJRER, 12 (1). pp. 10-18. ISSN 1309-0127 (2022)
Abstract
Malaysia has been strongly dependent on non-renewable energy such as coal and natural gas to power up the country.
As the country’s natural resources are now depleting, solar energy is seen as the most suitable future energy specifically due to Malaysia’s strategic location at the equator of the Earth. In Malaysia, many Large-Scale Solar Photovoltaic (LSSPV) plants have been developed as a result of effective policy by the government. However, one of the challenges faced by the independent power producers is the uncertainty of the output power from the LSSPVs due to fluctuation of weather conditions. This paper presents a forecasting power generation model of LSSPV farm using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) technique. .
| Item Type: | Article |
|---|---|
| Keywords: | Large Scale Solar Photovoltaic (LSSPV), Generation forecasting, Artificial Neural Network (ANN), Particle Swarm Optimization (PSO), Regression analysis, Meteorological |
| Taxonomy: | By Niche > Solar > Solar Energy By Niche > Solar > Solar Energy > Data Processing By Niche > Solar > Solar Energy > Government Policy By Niche > Solar > Solar Energy > Technological Innovations |
| Local Content Hub: | Niche > Solar |
| Depositing User: | Alias Manap |
| Date Deposited: | 31 Mar 2023 07:35 |
| Last Modified: | 31 Mar 2023 07:35 |
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