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Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
The prediction of global solar radiation for the regions is of great importance in terms of
giving directions of solar energy conversion systems (design, modeling, and operation) …
giving directions of solar energy conversion systems (design, modeling, and operation) …
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
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 …
available for location of interest due to absence of a meteorological station. Therefore, the …
Trends and challenges of grid-connected photovoltaic systems–A review
M Obi, R Bass - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
This paper presents a literature review of the recent developments and trends pertaining to
Grid-Connected Photovoltaic Systems (GCPVS). In countries with high penetration of …
Grid-Connected Photovoltaic Systems (GCPVS). In countries with high penetration of …
A current perspective on the accuracy of incoming solar energy forecasting
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
results reported in 1705 accuracy tests reported in several geographic regions (North …
A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
A Mellit, AM Pavan - Solar energy, 2010 - Elsevier
Forecasting of solar irradiance is in general significant for planning the operations of power
plants which convert renewable energies into electricity. In particular, the possibility to …
plants which convert renewable energies into electricity. In particular, the possibility to …
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
To support alternative forms of energy resources, the prediction of global incident solar
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …
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 …
conventional techniques or as components of integrated systems. They have been used to …
Predicting solar radiation at high resolutions: A comparison of time series forecasts
G Reikard - Solar energy, 2009 - Elsevier
The increasing use of solar power as a source of electricity has led to increased interest in
forecasting radiation over short time horizons. The relevant horizons for generation and …
forecasting radiation over short time horizons. The relevant horizons for generation and …