AUTHOR=Mohanty S. , Patra P. K. , Mohanty A. , Harrag A. , Rezk Hegazy 

TITLE=Adaptive Neuro-Fuzzy Approach for Solar Radiation Forecasting in Cyclone Ravaged Indian Cities: A Review

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.828097

DOI=10.3389/fenrg.2022.828097

ISSN=2296-598X

ABSTRACT=Measurement of Solar radiation and its forecasting of any particular location is a difficult task and depend upon a number of input factors. Intelligent modeling approaches with advanced techniques are always necessary for this challenging activity .In addition to this, it is necessary to choose some relevant input parameters for realizing better prediction. Adaptive neuro-fuzzy inference system (ANFIS) based modeling plays a vital role during selection of relevant input parameters for undertaking precise solar radiation prediction. Numerous literatures focusing ANFIS based techniques have been reviewed during estimation of solar energy incident in Eastern part of India. During solar forecasting the Input parameters considered for this model, are duration of the sunshine, temperature and humidity whereas clearness index value has been considered as an output parameter for calculation.For designing the model ,practical data sets have been prepared for some specified locations. Finally the outcome is compared with several other techniques. During this course of analysis, several paper have been reviewed for a comprehensive literature survey wok.