Intelligent Control and Management of Modern Power and Energy Systems
Due
to the rapid development of information and
communication technology and artificial
intelligence, as well as the power and energy
transformation, the control and management of modern
power and energy systems have been changed. A great
deal of new technologies, control algorithms,
models, problems, and business modes emerge, which
requires intelligence in the systems.
This session aims to focus on the intelligent
control and management of modern power and energy
systems. The submissions are encouraged to focus on
but not limited to intelligent control and
management algorithms, artificial intelligence, big
data analytics, cloud computing, internet of things,
mobile internet, demand response, and distributed
control with their application to smart grid, energy
internet, electrical internet of things, and other
multi-energy systems.
A brief list of potential submission topics is
shown below:
-
Intelligent control and management algorithms
for modern power and energy systems
-
Artificial intelligence algorithms for modern
power and energy systems
-
Big data analytics for modern power and energy
systems
-
Cloud computing for modern power and energy
systems
-
Internet of things for modern power and energy
systems
-
Mobile internet for modern power and energy
systems
-
Distributed control for modern power and energy
systems
-
Security and economy analysis for modern power
and energy systems
-
Cyber security for modern power and energy
systems
Organizer
Organizer:
Dr. Bowen Zhou, Northeastern University,
China
Co-Organizer:
Dr. Guangdi Li, Northeastern University, China
Biography:
Bowen Zhou received the BSc and MSc degrees
from Wuhan University, Wuhan, China, and the
PhD degree from Queen’s University Belfast,
Belfast, UK, all in electrical engineering.
He is currently a lecturer with Intelligent
Electrical Science and Technology Institute,
Northeastern University. His research
interests include power system operation,
stability and control, electric vehicles,
vehicle to grid, energy storage, demand
response, renewable energy, and energy
internet. He is the PI and Co-I of more than
20 government and industry sponsored
projects. He has published more than 60 SCI
or EI indexed papers. He is a member of IEEE
PES China Transformers Committee, IEEE PES
China Electric Vehicle Committee, and IEEE
PES China PSOPE Committee. He is currently a
member of IEEE, IET, IAENG, CSEE, CAA, and
CCF. He is also a committee member of
several international conferences and an
active reviewer of some peer reviewed
journals and international conferences.
Biography:
Dr. Guangdi Li
received the B.E.E degree from the College
of Information Science and Engineering,
Northeastern University, Shenyang, China, in
2013, and the Ph.D. degree in power
electronics and electric drive from the
College of Electrical Engineering, Zhejiang
University, in 2020.
He is currently a Postdoctoral Researcher
with the College of College of Information
Science and Engineering, Northeastern
University, Shenyang, China. His current
research interests include resonant DC-DC
converters, control and modeling of
grid-connected converters. He has published
more than 10 SCI or EI indexed papers. He is
a member of IEEE PES Intelligent Grid &
Emerging Technologies Satellite Committee –
China. He is currently a member of IEEE. He
is also an active reviewer of some peer
reviewed journals and international
conferences.
Submit Now
Delegates are
encouraged to submit their full papers/abstract to
the special sessions. Please submit electronically
article in PDF format before the submission
deadline.
The online
submission system is opened here:
http://www.easychair.org/conferences/?conf=aeees2024 Please choose session 5.
An easychair account
is needed. If you don't have, you can register first.
Any questions, please mail the conference secretary.