A review of microgrid energy management and control strategies
Several issues have been reported with the expansion of the electric power grid and the
increasing use of intermittent power sources, such as the need for expensive transmission …
increasing use of intermittent power sources, such as the need for expensive transmission …
Impacts of renewable energy generation on greenhouse gas emissions in Saudi Arabia: A comprehensive review
Over the last few years, the electric energy demand in the Kingdom of Saudi Arabia (KSA)
has increased many folds due to several factors including increased population …
has increased many folds due to several factors including increased population …
Using fuzzy MCDM technique to find the best location in Qatar for exploiting wind and solar energy to generate hydrogen and electricity
Hydrogen has been a promising energy carrier to meet the world's energy needs as well as
reduce pollutant emissions. Although many countries have policies and programs to expand …
reduce pollutant emissions. Although many countries have policies and programs to expand …
Review of smart city energy modeling in Southeast Asia
The Southeast Asian region has been eagerly exploring the concepts of smart city initiatives
in recent years due to the enormous opportunities and potential. The initiatives are in line …
in recent years due to the enormous opportunities and potential. The initiatives are in line …
Machine learning tools for active distribution grid fault diagnosis
Faults in power distribution networks cause customer minute and economic losses. A crucial
part of the protection system of such grids is effective fault diagnosis for the acceleration of …
part of the protection system of such grids is effective fault diagnosis for the acceleration of …
S-transform based FFNN approach for distribution grids fault detection and classification
Detection and classification of any anomaly at its commencement are very crucial for optimal
management of assets in power system grids. This paper presents a novel hybrid approach …
management of assets in power system grids. This paper presents a novel hybrid approach …
Energy consumption prediction using machine learning; a review
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …
advancement of the prediction models used for energy consumption. Such models highly …
Greenhouse gas emission dynamics of Saudi Arabia: potential of hydrogen fuel for emission footprint reduction
The growth of population, gross domestic product (GDP), and urbanization have led to an
increase in greenhouse gas (GHG) emissions in the Kingdom of Saudi Arabia (KSA). The …
increase in greenhouse gas (GHG) emissions in the Kingdom of Saudi Arabia (KSA). The …
Electricity generation in Saudi Arabia: Tracing opportunities and challenges to reducing greenhouse gas emissions
The electrical energy demand of the Kingdom of Saudi Arabia (KSA) has been observing a
surging growth due to high population growth and urbanization rate. The generation mostly …
surging growth due to high population growth and urbanization rate. The generation mostly …
Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations
Dubai is an emerging metropolis with unique features, such as an extremely high expatriate
ratio and turnover rate. These features, along with the extreme climatic conditions and …
ratio and turnover rate. These features, along with the extreme climatic conditions and …