Optimizing renewable energy systems through artificial intelligence: Review and future prospects

K Ukoba, KO Olatunji, E Adeoye, TC Jen… - Energy & …, 2024 - journals.sagepub.com
The global transition toward sustainable energy sources has prompted a surge in the
integration of renewable energy systems (RES) into existing power grids. To improve the …

[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey

P Boopathy, M Liyanage, N Deepa, M Velavali… - Computer science …, 2024 - Elsevier
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

A Multi-objective dynamic framework for design of energy hub by considering energy storage system, power-to-gas technology and integrated demand response …

SA Mansouri, E Nematbakhsh, A Ahmarinejad… - Journal of Energy …, 2022 - Elsevier
Since energy hubs meet the needs of customers for different energies, their construction rate
has increased in recent years. The annual growth of load demand on the one hand and the …

[HTML][HTML] A critical review on the impacts of energy storage systems and demand-side management strategies in the economic operation of renewable-based …

MZ Oskouei, AA Şeker, S Tunçel, E Demirbaş, T Gözel… - Sustainability, 2022 - mdpi.com
Energy storage systems (ESSs) and demand-side management (DSM) strategies have
significant potential in providing flexibility for renewable-based distribution networks …

Multi-objective optimization for optimal allocation and coordination of wind and solar DGs, BESSs and capacitors in presence of demand response

HA Taha, MH Alham, HKM Youssef - IEEE Access, 2022 - ieeexplore.ieee.org
The renewable energy sources (RES) based distributed generations (DGs) have been
proven to be of great technical and economic benefits if optimally allocated in distribution …