A survey of machine learning models in renewable energy predictions
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 …
has become an increasing trend. In order to improve the prediction ability of renewable …
Recent trends on nanofluid heat transfer machine learning research applied to renewable energy
Nanofluids have received increasing attention in research and development in the area of
renewable and sustainable energy systems. The addition of a small amount of high thermal …
renewable and sustainable energy systems. The addition of a small amount of high thermal …
Prospective methodologies in hybrid renewable energy systems for energy prediction using artificial neural networks
This paper presents a comprehensive review of machine learning (ML) based approaches,
especially artificial neural networks (ANNs) in time series data prediction problems …
especially artificial neural networks (ANNs) in time series data prediction problems …
A state-of-art-review on machine-learning based methods for PV
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …
applications in several applicative fields effectively changing our daily life. In this scenario …
A review on ANN based model for solar radiation and wind speed prediction with real-time data
Wind speed and solar radiation are the fundamental inputs used as a renewable energy
source. Both parameters are highly non-linear and environmental dependent. Hence …
source. Both parameters are highly non-linear and environmental dependent. Hence …
A comparison of the performance of supervised learning algorithms for solar power prediction
Science seeks strategies to mitigate global warming and reduce the negative impacts of the
long-term use of fossil fuels for power generation. In this sense, implementing and promoting …
long-term use of fossil fuels for power generation. In this sense, implementing and promoting …
The key role of sustainable renewable energy technologies in facing shortage of energy supplies in Palestine: Current practice and future potential
Renewable and sustainable energy technologies can play a major rule in Palestine due to
its dependability and security. Some facts about the electricity and potential clean sources …
its dependability and security. Some facts about the electricity and potential clean sources …
Application of artificial neural network for performance prediction of a nanofluid-based direct absorption solar collector
Recently, artificial neural network techniques have been widely used for the performance
prediction of the renewable energy systems, in which solar collectors are one of the most …
prediction of the renewable energy systems, in which solar collectors are one of the most …
Design parameter modelling of solar power tower system using adaptive neuro-fuzzy inference system optimized with a combination of genetic algorithm and teaching …
Determining the optimal sizing of a solar power tower system (SPTS) with a thermal energy
storage system is subject to finding the optimum values of design parameters including the …
storage system is subject to finding the optimum values of design parameters including the …
A sophisticated modeling approach for photovoltaic systems in load frequency control
This paper proposes a new model to mimics accurately the real dynamic and steady-state
power generation profiles of a photovoltaic (PV) power plant connected to the power system …
power generation profiles of a photovoltaic (PV) power plant connected to the power system …