Renewable energy resources are currently being deployed on a large scale to meet the
requirements of increased energy demand, mitigate the environmental pollutants, and …

Decision-focused learning (DFL) is an emerging paradigm that integrates machine learning
(ML) and constrained optimization to enhance decision quality by training ML models in an …

The integration of renewable energy source (RES) and energy storage systems (ESS) in
microgrids has provided potential benefit to end users and system operators. However …

Integration of distributed generations that fluctuate widely (such as Photovoltaic panels,
Wind power, Electric Vehicles and Energy Storage Systems), poses a chance to the stability …

A coordinated scheduling model based on two-stage distributionally robust optimization
(TSDRO) is proposed for integrated energy systems (IESs) with electricity-hydrogen hybrid …

Quantum inspired computational intelligence is gaining momentum in the interest of
enhancing the performance of existing metaheuristic optimization while solving multi …

The current era in sustainable development is focused on the rapid integration of renewable
energy sources driven by a wide range of socio‐economic objectives. Due to the inherent …

Inadequacies of the traditional, single-equation representations of models of emission-
generating technologies prominently associated with the classic book by Baumol and Oates …

With the increasing demands for autonomous decision, market initiative, and privacy
protection, a distributed energy management and strategy-making framework is more …

Due to environmental issues and smart grid development, distributed energy resources,
energy storage systems, and demand response (DR) are gaining attention to reduce the …