W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power systems offers the potential to accurately predict and manage the behavior of these systems …
D Yousri, HEZ Farag, H Zeineldin… - Energy Conversion and …, 2023 - Elsevier
Hybrid hydrogen-battery (HHB) based energy storage technologies have recently become matters of significant interest to enable sustainable and net zero-emission microgrids …
P Peng, A Anastasopoulou, K Brooks, H Furukawa… - Nature Energy, 2022 - nature.com
Hydrogen offers a route to storing renewable electricity and lowering greenhouse gas emissions. Metal–organic framework (MOF) adsorbents are promising candidates for …
J Wang, Q Wang, W Sun - Applied Energy, 2023 - Elsevier
The large-scale integration of renewable energy into power grids brings new problems and challenges to the flexible and stable operation of power systems. Providing flexibility from …
The decarbonisation of the iron and steel industry is expected to significantly increase its electricity consumption due to higher levels of electrification and the partial shift to hydrogen …
Demand Side Management (DSM) is a cost-effective approach to managing electricity networks, aimed at reducing capacity requirements and costs, increasing the penetration of …
Benin's rapid population, economic, and industrial growth will increase energy demand. Hence, Benin's government is keen to increase its power capacity to meet future demand …
In recent years, environmental concerns about climate change and global warming have encouraged countries to increase investment in renewable energies. As the penetration of …
SSM Shamsi, S Barberis, S Maccarini… - … and Sustainable Energy …, 2024 - Elsevier
Energy transition requires a high penetration of reliable and flexible renewable energy. To do so, low-cost, efficient, high capacity and environmentally friendly storage technologies to …