Conference Information

PCEE 2022: International Conference on Power, Control and Energy Engineering

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Submission Date:
2022-10-15 Extended
Notification Date:
2022-10-30
Conference Date:
2022-11-25
Location:
Wuhan, China
Viewed: 12824   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,137 of 5,682 conferences · Top 73%

#189 of 297 in Energy & Environment #301 of 469 in Robotics & Control

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-17

Call For Papers

PCEE 2022 (International Conference on Power, Control and Energy Engineering) is an academic conference held in Wuhan, China on 2022-11-25. The paper submission deadline is 2022-10-15 (extended). Acceptance notifications are sent on 2022-10-30.

PCEE 2022 is the premier interdisciplinary forum for the presentation of new advances and research results in the fields of Power, Control and Energy Engineering. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. The major topics include but are not limited to: New Energy New Energy Vehicles Renewable Energy (Wind Power, Hydropower, Solar Energy, Biomass, Biofuel, Geothermal Energy, Wave Energy, Tidal Energy, Hydrogen Fuel Cell, Energy Storage) Energy Transformation from New Energy System to Power Grid New Energy Strategy, Technology, Trend and Industrial Application Reliability, Maintenance, Safety and Guarantee of New Energy Energy Conservation Energy Conversion Renewable Generation Integration Power generation toward low carbon Virtual power plants Active distribution networks P2X technologies Power IOT Architecture of IoT Motors and Speed Drivers Big Data, Data Sharing and Cloud Computing Privacy and Security in IoT Interaction of IoT Power IoT Economy Application of Power IoT Application of Artificial Intelligence in Power IoT Smart Grid Power and Energy System Applications Smart Sensors and Advanced Metrology Infrastructure Energy Management System Impact of Smart Grid on Distributed Energy Network Security System Wide Area Protection, Communication and Control of Energy Systems Key Infrastructure Elasticity Smart Grid Interoperability and Standards Smart Grid Deployment and Demonstration Project Deployable microgrid Power Disaster and Protection High Voltage Flashover and Explosion Protection Personnel Safety Protection Safe Production of Power Leakage protection Wind Power Patrol Technology of UAV Early Warning Mechanism, Emergency Response Mechanism and Disaster Reconstruction Mechanism of Power System Natural Disasters Power Market Power Market-oriented Transaction Power Market Economy Power Internationalization and International Marketing Clean Energy Market Microgrids Dynamics and Control Microgrids Planning and Operation Microgrid Energy Management Grid-Connected Converters Cyber Security and Cyber Attack Virtual Synchronous Generator Virtual Dynamics Robust Power Grids Resilient Power Grids Energy Storage Systems Distributed Generation Demand Response Deregulation Policies New perspectives of renewable energy Power Devices and Driving Circuits Sustainable Energy Solutions Artificial Intelligence and Machine Learning Solutions Data-Driven Modeling and Control Control, Intelligent Systems, Robotics Electrical machines design, control and drives Data-driven (modeless) predictive control techniques
Last updated by Dunn Carl on

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