2020
DOI: 10.3390/app10175975
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A Survey of Machine Learning Models in Renewable Energy Predictions

Abstract: The use of renewable energy to reduce the effects of climate change and global warming has become an increasing trend. In order to improve the prediction ability of renewable energy, various prediction techniques have been developed. The aims of this review are illustrated as follows. First, this survey attempts to provide a review and analysis of machine-learning models in renewable-energy predictions. Secondly, this study depicts procedures, including data pre-processing techniques, parameter selection algor… Show more

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Cited by 134 publications
(60 citation statements)
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References 147 publications
(201 reference statements)
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“…This implies an excessive volume of data whose analysis in due time is not viable, unless an excessive number of people is hired exclusively for this job. This analysis helps to detect several problems and critical cases that require special attention from the team in charge, such as energy meters malfunction, inconsistent measurements, suspicion of fraud, rising rates of consumption without changes in the terms of the contract, among other possible adversities [11][12][13][14][15].…”
Section: Methodology Based On Artificial Intelligencementioning
confidence: 99%
“…This implies an excessive volume of data whose analysis in due time is not viable, unless an excessive number of people is hired exclusively for this job. This analysis helps to detect several problems and critical cases that require special attention from the team in charge, such as energy meters malfunction, inconsistent measurements, suspicion of fraud, rising rates of consumption without changes in the terms of the contract, among other possible adversities [11][12][13][14][15].…”
Section: Methodology Based On Artificial Intelligencementioning
confidence: 99%
“…In addition, various emerging software packages such as EnergyPlus [100], TRYSYS [101] and eQuest [102] can be used for building simulations and building energy calculations. Several researchers have made substantial contributions to the introduction of new approaches [103][104][105][106][107]. For example, Amasyali et al [108] examined the existing data-driven techniques.…”
Section: New Techniques and Emerging Trends Towards Sustainabilitymentioning
confidence: 99%
“…Renewable energy plays an important role in reducing the effects of climate change and global warming. Accurate research of renewable energy power is crucial in the completion of the 2030 Agenda [25].…”
Section: Upgrades Through Additionsmentioning
confidence: 99%