A review on classification and comparison of different models in solar radiation estimation

作     者：Tolabi, Hajar Bagheri Moradi, M. H. Ayob, Shahrin Bin Md 

作者机构：Islamic Azad Univ Khorramabad Branch Dept Elect Engn Fac Engn Tehran Iran Bu Ali Sina Univ Dept Elect Engn Fac Engn Hamadan Iran Univ Teknol Malaysia Fac Elect Engn Skudai Malaysia 

出 版 物：《INTERNATIONAL JOURNAL OF ENERGY RESEARCH》 (国际能源研究杂志)

年 卷 期：2014年第38卷第6期

页      面：689-701页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0827[工学-核科学与技术] 

主　　题：solar radiation empirical simulated and optimized models statistical regression techniques optimization algorithms 

摘      要：This paper introduces a new classification scheme for the solar radiation estimation techniques based on three categories: empirical models (based on statistical regression techniques), simulated models (based on training), and optimized models (based on optimization algorithms). For the optimized model category, a novelty bees algorithm estimation based on a linear empirical model is developed. Eight different methods from three classes have been tested on three sample geographic positions of Iran in order to compare the efficiency, complexity, sensed parameters, and required prior training of each category with others by implementing in the Matlab software. Among all tested models, the best properties are obtained for optimized empirical models by optimization algorithms. The main advantages of this model type are that it eliminates the training stage and therefore reduces the complexity rather than simulated models yet offers high accuracy estimation. Copyright (c) 2014 John Wiley & Sons, Ltd.