A review of microgrid energy management and control strategies

S Ahmad, M Shafiullah, CB Ahmed… - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Impacts of renewable energy generation on greenhouse gas emissions in Saudi Arabia: A comprehensive review

FS Al-Ismail, MS Alam, M Shafiullah, MI Hossain… - Sustainability, 2023 - mdpi.com
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 …

Using fuzzy MCDM technique to find the best location in Qatar for exploiting wind and solar energy to generate hydrogen and electricity

M Jahangiri, AA Shamsabadi, A Mostafaeipour… - International Journal of …, 2020 - Elsevier
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 …

Review of smart city energy modeling in Southeast Asia

M Shafiullah, S Rahman, B Imteyaz, MK Aroua… - Smart Cities, 2022 - mdpi.com
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 …

Machine learning tools for active distribution grid fault diagnosis

M Shafiullah, KA AlShumayri, MS Alam - Advances in engineering software, 2022 - Elsevier
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 …

S-transform based FFNN approach for distribution grids fault detection and classification

M Shafiullah, MA Abido - IEEE Access, 2018 - ieeexplore.ieee.org
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 …

Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
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

A Akinpelu, MS Alam, M Shafiullah, SM Rahman… - Sustainability, 2023 - mdpi.com
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 …

Electricity generation in Saudi Arabia: Tracing opportunities and challenges to reducing greenhouse gas emissions

SM Rahman, FSM Al-Ismail, ME Haque… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations

M Abdallah, MA Talib, M Hosny, OA Waraga… - Advanced Engineering …, 2022 - Elsevier
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 …