Abstract
Highly accurate estimating of daily solar radiation by developing an intelligent and robust model has been a subject of prominent concern for many researchers in the past few years. The precise prediction of solar radiation is of great interest and importance to improve the incorporation of solar power plants. In this study, a novel multilayer framework for a particular combination of the bat algorithm (BA) and neural networks (NN) is proposed, which is called bat neural network (BNN), aimed at predicting daily solar radiation over Iran. For appraising the performance of the proposed BNN, daily solar radiation data from four cities of Iran including Jask, Kermanshah, Ramsar, and Tehran are analyzed. The results indicate that among the tested models, BNN gains the best performance in the prediction of daily solar radiation. Among various soft computing approaches, the BA, which is inspired by the nature of microbats’ behaviour, has a significant impact on the optimization of this study.
Highlights
Energy-related problems have been major worldwide concerns [1,2]
At the end of this section, we summarize the previous research studies on solar radiation forecasting with different algorithms in other regions, especially in Iran
Due totothe four to cities consisting of Dailyofsolar radiation data was employed runavailability a prediction limitations, problem in order appraise the Kermanshah, and Tehran were nominated to provideofinput of Ramsar, the suggested approach
Summary
Energy-related problems have been major worldwide concerns [1,2] These days, environmental concerns and social pressures are going to change the earth to a more sustainable planet [1]. Energies 2018, 11, 1188 impact on environment [3] Nonrenewable energies such as fossil fuels have provided almost 80%. Global warming and greenhouse gas emissions have led to a global exploration for alternative energy resources to meet the ongoing worldwide energy demand. In this case, solar energy is a promising alternative energy resource owing to abundance, cleanness, and cost-effectiveness characteristics, which can generate electricity and heat without any environmental degradation [5]. Solar energy exposes a fluctuating generation profile, unlike conventional power generation plants, which can operate unceasingly
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