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PEIS 2023 : International Conference on Power Engineering and Intelligent Systems


When Jun 24, 2023 - Jun 25, 2023
Where National Institute of Technology Delhi,
Submission Deadline Apr 15, 2023
Notification Due May 25, 2023
Final Version Due Jun 9, 2023
Categories    power engineering   applied intelligence   intelligent systems   power systems

Call For Papers

National Institute of Technology Delhi is going to organize the International conference on Power Engineering and Intelligent System (PEIS2023) during June 24-25, 2023. The conference is technically sponsored by the Soft Computing Research Society.

Submissions: Accepted papers will be published in SCOPUS Indexed Springer Book Series, LECTURE NOTES IN ELECTRICAL ENGINEERING.

The topics covered (but are not limited to) in the conference are as follows:

Power and Energy Engineering: Power Systems Operation and Control, Renewable Energy Based Systems, Power System Reliability, Power Systems Stability and Control, Power System Protection, Power System Protection, Planning and Operation under Deregulated Conditions, Restructuring of Power System, Control Applications to Power Systems, Fault Monitoring and Predictive Maintenance, Blackouts: Analysis, Prevention & Control, Wide Area Monitoring and Control

Transportation and Energy Storage: Role and Operation in Grids and Microgrids, Plug-in vehicles and low-carbon transportation alternatives, Power Electronics and motor control for EV Applications, Charging methods, systems and standards, G2V and V2G applications, Railway Traction applications, Battery use and reuse, Large-Scale Energy Storage, Wireless Charging Systems, Battery Management Systems

Grids, Smart Grids, Microgrids and AC & DC: Role and Operation in Grids and Microgrids, Smart grids, Micro, Nano & Pico Grids, Power quality issues and power factor correction techniques, 6DC grids including fault coordination and protection, Hybrid DC circuit breakers (DCCBs), HVDC & FACTS

Energy Managements, Electricity Market and Policy/ Regulatory Aspects: Electricity Market and Power System Economics, Grid Flexibility, Resiliency & Security, Demand Side Management, Policies for Distributed Generation, Distribution Network Management, Electricity Trading and Risk Management, Energy Policy, Governance and Regulations, Flexing India’s Energy System through Market Mechanisms, Economic, social and environmental policy aspects

Data Analytics & AI ML, Big Data and Cyber Security in Power Systems: AI, ML, and game theory applications, Cloud computing, Cyber security systems, Machine learning applications in power systems, Big data analytics in energy systems, Blockchain applications in smart grid, IoT Infrastructure for energy management in power system, Advanced Metering Infrastructure, Cyber & Physical Security of the Power Grid, Home Automation, Intelligent monitoring and outage management, Applications of Heuristics and Metaheuristics in Power Systems, Generation, Load & Price Forecasting

Power electronics components and their applications: Power Electronics and Drives, Power electronics converters and systems, Modular Multilevel Converters, Standard and advanced PWM techniques, Condition Monitoring, Electrical Machines, Industrial Automation and Control, Automatic and AI based Control, Nonlinear Control, Mechatronics and Embedded Systems, Analysis, control, and design of electrical machines and drives, Design and applications of wide band gap power electronic devices (SiC, GaN), Motor drive technologies for industrial applications, Health monitoring, predictive maintenance of electrical machines, and power converters

Intelligent Systms: Data pre-processing, Data clustering, Classification, Regression, Pattern recognition, Visualization, Time series forecasting, Optimization, Data Mining Techniques, Big Data Analytics.

Real-World Applications: Intelligent System Design, Robotics, Expert Systems, Bioinformatics, Biomedical Data Analysis, Health care, Industrial applications, Computational Finance, Agriculture and environment, Seismicity Analysis and other applications in the emerging areas of science and engineering.

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