User profiles for Zhanle Wang

Zhanle Wang

Ph.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

M Ghiasi, T Niknam, Z Wang, M Mehrandezh… - Electric Power Systems …, 2023 - Elsevier
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 …

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 …

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

M Ghiasi, Z Wang, M Mehrandezh, S Jalilian… - IET Smart …, 2023 - Wiley Online Library
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 …

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-…

A framework of using machine learning approaches for short-term solar power forecasting

U Munawar, Z Wang - Journal of Electrical Engineering & Technology, 2020 - Springer
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…

Residential demand response: An overview of recent simulation and modeling applications

Z Wang, R Paranjape, A Sadanand… - 2013 26th IEEE …, 2013 - ieeexplore.ieee.org
This paper reviews recent simulation and modeling applications of residential demand response
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 …

Stochastic optimization for residential demand response with unit commitment and time of use

Z Wang, U Munawar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As compensation to power generation dispatch, demand response (DR) enables demand
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 …

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 …