Conference Information

AIPE 2027: International Conference on Artificial Intelligence and Power Engineering

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Submission Date:
2026-10-10 Due in 4 days
Notification Date:
2026-11-10
Conference Date:
2027-02-26
Location:
Nanjing, China
Years:
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Conference Partner Index (CP-I)

45.5 / 100
Ranked #2,753 of 5,693 conferences · Top 49%

#98 of 298 in Energy & Environment #298 of 742 in Artificial Intelligence & Machine Learning

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%)
43
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 4 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · 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 45% - 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 2026-10-06

Call For Papers

AIPE 2027 (International Conference on Artificial Intelligence and Power Engineering) is an academic conference held in Nanjing, China on 2027-02-26. The paper submission deadline is 2026-10-10. Acceptance notifications are sent on 2026-11-10.

It is our great pleasure to invite you to contribute papers and participate in AIPE 2027. 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: Artificial Intelligence 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 Power & Energy Engineering 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
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