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A review on energy efficient technologies for electric vehicle applications
This paper presents the technological advancements of the electric vehicles (EVs) all over
the world. The first emphasis is on the various types of the EVs along with the energy …
the world. The first emphasis is on the various types of the EVs along with the energy …
Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model
Solar radiation is one of the cleanest sources of renewable energy, and it affects the carbon
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
Solar energy serves as a great alternative to fossil fuels as they are clean and renewable
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
Ensemble machine-learning models for accurate prediction of solar irradiation in Bangladesh
Improved irradiance forecasting ensures precise solar power generation forecasts, resulting
in smoother operation of the distribution grid. Empirical models are used to estimate …
in smoother operation of the distribution grid. Empirical models are used to estimate …
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
This paper focuses on the development of a robust accurate streamflow prediction model by
balancing the abilities of exploitation and exploration to find the best parameters of a …
balancing the abilities of exploitation and exploration to find the best parameters of a …
Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
Reliable and accurate prediction model capturing the changes in solar radiation is essential
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
[HTML][HTML] Optimized random forest for solar radiation prediction using sunshine hours
Knowing exactly how much solar radiation reaches a particular area is helpful when
planning solar energy installations. In recent years the use of renewable energies …
planning solar energy installations. In recent years the use of renewable energies …
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
ABSTRACT A reliable model to predict the changes in the water levels in a river is crucial for
better planning to mitigate any risk associated with flooding. In this study, six different …
better planning to mitigate any risk associated with flooding. In this study, six different …
Application of artificial intelligence model solar radiation prediction for renewable energy systems
Solar power is an excellent alternative power source that can significantly cut our
dependency on nonrenewable and destructive fossil fuels. Solar radiation (SR) can be …
dependency on nonrenewable and destructive fossil fuels. Solar radiation (SR) can be …
Comparison of DEEP-LSTM and MLP models in estimation of evaporation pan for arid regions
The importance of evaporation estimation in water resources and agricultural studies is
undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of …
undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of …