2014 : Extreme learning machine approach to estimate hourly solar radiation on horizontal surface (PV) in Surabaya-East java

Prof. Dr. Ir. Soeprijanto M.Sc.

Abstract

Solar radiation is a source of alternative energy that is very influential on the photovoltaic performance in generating energy. The need for solar radiation estimation has become a significant feature in the design of photovoltaic (PV) systems. Recently, the most popular method used to estimate solar radiation is artificial neural network (ANN). However, a new approach, called the extreme learning machine (ELM) algorithm is a new learning method of feed forward neural network with one hidden layer or known as Single Hidden Layer Feed Forward Neural Network (SLFN). In this research, ELM and a multilayer feed-forward network with back propagation are implemented to estimate hourly solar radiation on horizontal surface in Surabaya. In contrast to previous researches, this study has emphasized the use of meteorological data such as temperature, humidity, wind speed, and direction of speed as inputs for ANN …