This paper presents a comprehensive and systematic review of the Incentive‐Based Demand Response (IBDR) program, highlighting its development, design, and implementation in modern Renewable Energy (RE)‐based hierarchical Energy Markets (EMs). The study categorizes the existing body of research into four key domains: EM...
Sheikh Suhaib Gul, T. Yuvaraj, Mohit Bajaj et al.· Engineering Reports· 0 citations
The growing demand for sustainable and reliable electricity supply has intensified the need for advanced hybrid renewable energy systems capable of delivering both technical reliability and economic viability. This study presents a comprehensive technoeconomic optimization framework for the optimal design of a grid-con...
H. Salhi, S. Louarem, Hamou Nouri et al.· Energy Exploration & Exp...· 0 citations
This article presents a scalable and energy-efficient bridgeless canonical switching cell (CSC) based power factor correction (PFC) converter integrated with finite control set model predictive control (FCS–MPC) for low-voltage electric vehicle battery charging under universal grid conditions. Conventional boost-derive...
B. Jyothi, B. A. Kumar, Arvind R. Singh et al.· Energy Exploration & Exp...· 0 citations
Accurate prediction of photovoltaic (PV) ramp events is essential for maintaining grid stability and ensuring reliable operation of renewable-rich power systems. However, conventional evaluation metrics often fail to reflect the operational consequences of forecasting errors under asymmetric cost conditions. This study...
S. Boumous, Z. Boumous, S. Latreche et al.· Energy Exploration & Exp...· 0 citations
This article presents a comprehensive and critical review of power quality issues (PQIs) arising from the integration of electric vehicles (EVs) into modern power grids, particularly under high penetration scenarios. As EV adoption accelerates globally—driven by decarbonization goals, government policies, and advances...
Bhuvanesh Arun Ct, Wesley Jeevadason Aruldoss, T. Yuvaraj et al.· Energy Exploration & Exp...· 0 citations
The integration of physics-guided constraints with the temporal convolutional architecture significantly enhances prediction accuracy, stability, and generalization capability, making it suitable for real-time wind energy forecasting applications, intelligent energy management systems, and microgrid power system operat...
S. Marisargunam, T. Mariprasath, Mohit Bajaj et al.· Energy Exploration & Exp...· 1 citation
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