User profiles for Zhanle Wang
Zhanle WangPh.D., P.Eng., Associate Professor, University of Regina Verified email at uregina.ca Cited by 1678 |
A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …
as well as the prevalent use of Internet-based structures, new forms of power systems have …
Optimal residential demand response for multiple heterogeneous homes with real-time price prediction in a multiagent framework
Z Wang, R Paranjape - IEEE transactions on smart grid, 2015 - ieeexplore.ieee.org
Demand response (DR) is a recent effort to improve the efficiency of the electricity market
and the stability of the power system. A successful implementation relies on both appropriate …
and the stability of the power system. A successful implementation relies on both appropriate …
Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation
To achieve low‐carbon sustainable energy development, new technologies such as Internet
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting
M El-Hendawi, Z Wang - Electric Power Systems Research, 2020 - Elsevier
Due to high penetration of distributed energy resources, integration of intermittent renewable
energy resources and deployment of demand-side management, highly accurate short-…
energy resources and deployment of demand-side management, highly accurate short-…
A framework of using machine learning approaches for short-term solar power forecasting
Various machine learning approaches are widely applied for short-term solar power forecasting,
which is highly demanded for renewable energy integration and power system planning…
which is highly demanded for renewable energy integration and power system planning…
Residential demand response: An overview of recent simulation and modeling applications
This paper reviews recent simulation and modeling applications of residential demand response
including demand response enabled load models, home energy management systems, …
including demand response enabled load models, home energy management systems, …
Distributed optimal vehicle-to-grid approaches with consideration of battery degradation cost under real-time pricing
K Ginigeme, Z Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Electric vehicles (EV) are becoming increasingly popular due to their efficiency and potentials
to reduce greenhouse gas emission. However, penetration of a very large number of EVs …
to reduce greenhouse gas emission. However, penetration of a very large number of EVs …
Stochastic optimization for residential demand response with unit commitment and time of use
As compensation to power generation dispatch, demand response (DR) enables demand
controllability by changing the consumers' electricity usage patterns, which can be used to …
controllability by changing the consumers' electricity usage patterns, which can be used to …
Multipurpose FCS model predictive control of VSC-based microgrids for islanded and grid-connected operation modes
…, M Dehghani, HR Baghaee, Z Wang… - IEEE Systems …, 2022 - ieeexplore.ieee.org
This article presents an enhanced control strategy for renewable energy resources connected
to the grid through voltage-sourced converters (VSCs) in microgrids. The proposed …
to the grid through voltage-sourced converters (VSCs) in microgrids. The proposed …
An evaluation of electric vehicle penetration under demand response in a multi-agent based simulation
Z Wang, R Paranjape - 2014 IEEE electrical power and energy …, 2014 - ieeexplore.ieee.org
This paper proposes an electric vehicle charging model and various control algorithms that
are further incorporated into a multi-agent system to evaluate impacts of electric vehicle …
are further incorporated into a multi-agent system to evaluate impacts of electric vehicle …