Conventional energy resources are depleting very fast and to meet the global energy
demand, the scarcity of these resources is the most crucial factor in the present era. One of …

This article addresses the optimal bidding strategy problem of a virtual power plant (VPP)
participating in the day-ahead (DA), real-time (RT) and spinning reserve (SR) markets …

Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …

The outstanding demand of Electric Vehicles (EVs) has resulted the expansion of parking
lots, while leading issues such as imbalance in power grid. Therefore, the critically planned …

Transportation electrification is an undeniable trend for moving towards sustainable energy
systems. Therefore, electric intelligent parking lots (IPL) enhanced with renewable energy …

A demand response program for electric vehicles (EV) is proposed to control the charging
decision process in EV clusters. This approach corresponds to a time-of-use solution which …

In this paper, a risk-based stochastic framework is presented for short-term energy and
reserve scheduling of a virtual power plant (VPP) considering demand response (DR) …

Because of missing the stochastic behaviors and decisions of the electric vehicle (EV)
owners during the definition of the structure of energy management for charging/discharging …

A regret-based stochastic bi-level framework for optimal decision making of a demand
response (DR) aggregator to purchase energy from short term electricity market and wind …

Abstract Very-high-resolution (VHR) land cover and land use (LCLU) is an essential
baseline data for understanding fine-scale interactions between humans and the …