The ongoing electrification of mobility comes with the challenge of charging electric vehicles
(EVs) sufficiently while charging infrastructure capacities are limited. Smart charging …

Independent operation of single microgrids (MGs) faces problems such as low self-
consumption of local renewable energy, high operation cost and frequent power exchange …

Energy storage systems have received widespread attention due to their advantages on
rapid response, smooth fluctuations, and the reduction of temporal and spatial imbalance. At …

To explore the electric vehicle networks in smart cities through big data analysis technology,
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …

With increasing demand in electrical energy and the development of distributed generation
technologies, microgrids are formed to avoid the consequences of these changes …

This paper studies price-based residential demand response management (PB-RDRM) in
smart grids, in which non-dispatchable and dispatchable loads (including general loads and …

Increasing plug-in electric vehicle (PEV) charging stations are coupling the power and
transportation systems tightly together. The distribution of PEV traffic flows will be …

This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on
coupled transportation and power networks. We develop a closed-form model for PEV fast …

From self-driving vehicles, voice recognition based virtual digital assistants, smart
thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part …

Multienergy microgrids are a promising solution to improve overall energy (electricity,
cooling, heating, etc.) efficiency. In this paper, a new optimal energy trading strategy is …