Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm

J Wang, H Jiang, Y Wu, Y Dong - Energy, 2015 - Elsevier
Due to energy crisis and environmental problems, it is very urgent to find alternative energy
sources nowadays. Solar energy, as one of the great potential clean energies, has widely …

Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation

H Jiang, Y Dong, J Wang, Y Li - Energy Conversion and Management, 2015 - Elsevier
Due to the scarcity of equipment and the high costs of maintenance, far fewer observations
of solar radiation are made than observations of temperature, precipitation and other …

A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study

M Guermoui, K Gairaa, J Boland… - Journal of Solar …, 2021 - asmedigitalcollection.asme.org
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …

Advanced ensemble model for solar radiation forecasting using sine cosine algorithm and newton's laws

ESM El-Kenawy, S Mirjalili, SSM Ghoneim… - IEEE …, 2021 - ieeexplore.ieee.org
As research in alternate energy sources is growing, solar radiation is catching the eyes of
the research community immensely. Since solar energy generation depends on …

An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system

F Alassery, A Alzahrani, AI Khan, K Irshad… - … Energy Technologies and …, 2022 - Elsevier
Solar energy's probabilistic and changeable nature raises serious challenges about
ensuring dependable, cheap, and secure control of power energy networks through the …

Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

O Abedinia, N Amjady, N Ghadimi - Computational Intelligence, 2018 - Wiley Online Library
Prediction of solar power involves the knowledge of the sun, atmosphere and other
parameters, and the scattering processes and the specifications of a solar energy plant that …

Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization …

Y Wang, C Zhang, Y Fu, L Suo, S Song, T Peng… - Energy, 2023 - Elsevier
Solar energy is highly economical and widespread in new energy applications, and
analyzing solar radiation information is an important part of solar photovoltaic power …

[HTML][HTML] Adaptive meta-learning extreme learning machine with golden eagle optimization and logistic map for forecasting the incomplete data of solar irradiance

S Boriratrit, P Fuangfoo, C Srithapon, R Chatthaworn - Energy and AI, 2023 - Elsevier
Solar energy has become crucial in producing electrical energy because it is inexhaustible
and sustainable. However, its uncertain generation causes problems in power system …

A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation

H Jiang, Y Dong - Energy conversion and management, 2016 - Elsevier
For a portion of the power which is generated by grid connected photovoltaic installations,
an effective solar irradiation forecasting approach must be crucial to ensure the quality and …

Comparative optimization of global solar radiation forecasting using machine learning and time series models

B Belmahdi, M Louzazni, A El Bouardi - Environmental Science and …, 2022 - Springer
The increasing use of solar energy as a source of renewable energy has led to increasing
the interest in photovoltaic (PV) power outputs forecasting. In the meantime, forecasting …