papers

A support vector machine–firefly algorithm-based model for global solar radiation prediction

In this paper, the accuracy of a hybrid machine learning technique for solar radiation prediction based on some meteorological data is examined. For this aim, a novel method named as SVMFFA is developed by hybridizing the Support Vector Machines (SVMs) with Firefly Algorithm (FFA) to predict the monthly mean horizontal...

Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of

Rural electrification improves the quality of life of rural dwellers having limited or non-access to electricity through decentralized electricity coverage. Since the price of oil is unstable and fluctuating day by day and grid expansion is not also a cost effective solution, integrating renewable energy sources thus b...

Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

In this paper, the accuracy of a soft computing technique is investigated for predicting solar radiation based on a series of measured meteorological data: monthly mean minimum temperature and, maximum temperature, and sunshine duration obtained from a meteorological station located in Iseyin, Nigeria. The process was ...

Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

In this paper, the accuracy of a soft computing technique is investigated for predicting solar radiation based on a series of measured meteorological data: monthly mean minimum temperature and, maximum temperature, and sunshine duration obtained from a meteorological station located in Iseyin, Nigeria. The process was ...

Techno‐economic analysis of hybrid PV–diesel–battery and PV–wind–diesel–battery power sys

In recent times, hybrid renewable energy systems are increasingly being utilized to provide electricity in remote areas especially where the grid extension is considered too expensive. This study presents the results of techno‐economic analysis of hybrid system comprising of solar and wind energy for powering a speci...