Integration of solar energy in electrical, hybrid, autonomous vehicles: a technological review
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 …
demand, the scarcity of these resources is the most crucial factor in the present era. One of …
Risk-averse optimal energy and reserve scheduling for virtual power plants incorporating demand response programs
M Vahedipour-Dahraie… - … on Smart Grid, 2020 - ieeexplore.ieee.org
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 …
participating in the day-ahead (DA), real-time (RT) and spinning reserve (SR) markets …
Bilevel optimization: theory, algorithms, applications and a bibliography
S Dempe - Bilevel optimization: advances and next challenges, 2020 - Springer
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 …
region of the so-called upper level problem is restricted by the graph of the solution set …
Intelligent charging planning for electric vehicle commercial parking lots and its impact on distribution network's imbalance indices
MA Baherifard, R Kazemzadeh, AS Yazdankhah… - … Energy, Grids and …, 2022 - Elsevier
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 …
lots, while leading issues such as imbalance in power grid. Therefore, the critically planned …
Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization …
Transportation electrification is an undeniable trend for moving towards sustainable energy
systems. Therefore, electric intelligent parking lots (IPL) enhanced with renewable energy …
systems. Therefore, electric intelligent parking lots (IPL) enhanced with renewable energy …
A time-of-use pricing strategy for managing electric vehicle clusters
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 …
decision process in EV clusters. This approach corresponds to a time-of-use solution which …
Risk-averse probabilistic framework for scheduling of virtual power plants considering demand response and uncertainties
M Vahedipour-Dahraie… - International Journal of …, 2020 - Elsevier
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) …
reserve scheduling of a virtual power plant (VPP) considering demand response (DR) …
An optimal management for charging and discharging of electric vehicles in an intelligent parking lot considering vehicle owner's random behaviors
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 …
owners during the definition of the structure of energy management for charging/discharging …
A regret-based stochastic bi-level framework for scheduling of DR aggregator under uncertainties
H Rashidizadeh-Kermani… - … on Smart Grid, 2020 - ieeexplore.ieee.org
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 …
response (DR) aggregator to purchase energy from short term electricity market and wind …
UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States
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 …
baseline data for understanding fine-scale interactions between humans and the …