Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

[HTML][HTML] Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

MN Akhter, S Mekhilef, H Mokhlis… - IET Renewable …, 2019 - Wiley Online Library
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …

Forecasting methods in energy planning models

KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

A simplified LSTM neural networks for one day-ahead solar power forecasting

CH Liu, JC Gu, MT Yang - Ieee Access, 2021 - ieeexplore.ieee.org
In recent years, exploration and exploitation of renewable energies are turning a new
chapter toward the development of energy policy, technology and business ecosystem in all …

Solar radiation prediction using Artificial Neural Network techniques: A review

AK Yadav, SS Chandel - Renewable and sustainable energy reviews, 2014 - Elsevier
Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

RC Deo, X Wen, F Qi - Applied Energy, 2016 - Elsevier
A solar radiation forecasting model can be utilized is a scientific contrivance for investigating
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …

The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review

A Qazi, H Fayaz, A Wadi, RG Raj, NA Rahim… - Journal of cleaner …, 2015 - Elsevier
Solar energy generated by sunlight has a non-schedulable nature due to the stochastic
environment of meteorological conditions. Hence, power system control and the energy …

Artificial intelligence techniques for photovoltaic applications: A review

A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

[HTML][HTML] Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms

N Premalatha, A Valan Arasu - Journal of applied research and …, 2016 - scielo.org.mx
Global solar radiation (GSR) is an essential parameter for the design and operation of solar
energy systems. Long-standing records of global solar radiation data are not available in …