It is our great pleasure to invite you to contribute papers and participate in AIPE 2026. The conference aims at bringing together the experts on artificial intelligence and power engineering from around the world, and providing a leading international forum for the dissemination of original research findings in related fields.
We invite authors to submit papers on topics of artificial intelligence and power engineering, including but not limited to:
Core Methods & Technologies:
1. Machine Learning & Deep Learning
2. Natural Language Processing & Large Language Models
3. Computer Vision & Multimodal AI
4. Generative AI & Foundation Models
5. Reinforcement Learning & Decision Intelligence
6. Neuromorphic Computing & AI Hardware
7. Intelligent Speech Processing & Dialogue Systems
8. Recommender Systems & Information Retrieval
Frontier Applications & Interdisciplinary Areas:
9. AI-Powered Robotics & Autonomous Systems
10. AI for Science & Engineering
11. AIoT (AI for Internet of Things) & Cyber-Physical Systems
12. AI Applications in Power and Energy Systems (e.g., smart grid analytics, load forecasting, equipment maintenance)
13. AI Applications in Healthcare, Climate, and Smart Cities
14. AI Ethics, Fairness, Trustworthy Governance & Alignment
Core & Traditional Technologies:
1. Power System Analysis, Stability, Control & Protection
2. High Voltage Engineering, HVDC/FACTS & Insulation Technologies
3. Power Electronics, Motor Drives & Power Quality
4. Transmission & Distribution Engineering and Substation Design
5. Power System Relaying & Automation
6. Industrial & Commercial Power Systems
Renewable Energy & Modern Systems:
7. Renewable Energy Integration (PV, Wind, Hydrogen) & Grid Interconnection
8. Energy Storage Technologies & Grid-Scale Applications
9. Smart Grids, Microgrids & Active Distribution Networks
10. Energy Transition Pathways & Electrification
11. Sustainable Power Generation & Carbon Capture Technologies
Operations, Markets & Digitalization:
12. Power System Economics, Electricity Markets & Regulation
13. Power System Planning, Operation & Reliability
14. Grid Digitalization, Communications, Measurement & Digital Twins
15. Cybersecurity & Cyber-Physical Resilience of Power Networks
16. Applications of AI & Big Data in Power Systems