Prediction of electrical energy for solar cells based on the weather in the solo city and surrounding areas.

Abstract

Electricity capacity in Indonesia is about 89% produced from fossil fuels and the remaining renewable energy. These reasons encourage the government to accelerate the fulfilled of electricity needs with the use of energy mix with the ratio of the use of renewable energy by 25% to meet the 100% electrification ratio in 2025. This study discusses the prediction of electrical energy generated by solar cells combined based on the weather in Solo and surrounding areas as part to encourage the realization renewable energy use. The Prediction system using Artificial Neural Network (ANN) with multi layer neural network based on maximum temperature, minimum temperature, precipitation, wind speed, relativity humidity and solar energy. The result of system is electrical power generated 1 solar cell. The soalr cell with 0.35 m x 0.49 m of area generate electrical power 4.2865 x 10–2 watt.