Energy Informatics.Academy Conference 2026 (EI.A 2026)
14-17 October 2026, Sino-Danish College (SDC), Beijing, China
A leading international forum for energy informatics, combining in-person academic exchange with global research dissemination

About EI.A 2026
EI.A 2026 is designed for researchers who seek more than a paper presentation. The conference offers a focused academic environment where energy related research, digital methods, and institutional feasibility are discussed together, rather than in isolation.
What makes EI.A 2026 distinctive is its discussion-centered single-track format, which prioritizes depth of exchange over parallel sessions, enabling authors to receive substantive feedback and engage directly with peers, session chairs, and keynote speakers. Accepted papers are published through pre-conference LNCS proceedings, ensuring early visibility and timely dissemination.
EI.A 2026 is co-hosted with the Summer School in Energy Informatics 2026 (12–13 October 2026), which which addresses how climate constraints, digital energy methods, and institutional feasibility are connected in energy system research. While the summer school focuses on shared conceptual foundations and analytical perspectives, the conference provides a forum for presenting and debating advanced, original research, creating a rare and coherent academic continuum across the two events.
Beyond the conference days, EI.A 2026 is embedded in the Energy Informatics Academy, an international research community that emphasizes continuity, collaboration, and long-term impact. Participants contribute not only to a conference, but to an ongoing academic ecosystem shaping the future of energy informatics.
Conference Format
EI.A 2026 combines deep physical interaction with long-term global visibility through two complementary presentation formats.

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Physical Presentation
On-site presentation in single-track sessions with extended discussion and direct interaction with peers, session chairs, and keynote speakers.
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Pre-Recorded Video Presentation
Optional video presentation released during the conference and made publicly available via EI.A channels, extending the reach and long-term impact of accepted work.
Both formats follow the same peer-review process and offer identical publication opportunities.
Why Attend in Person
Physical participation at EI.A 2026 enables extended academic discussion, informal exchange during breaks and social events, and direct engagement with the EI.A research community, including keynote speakers, editors, and peers.
Conference Scope
EI.A 2026 covers a broad range of topics across energy systems and informatics, including digitalization, AI-enabled energy systems, smart grids, energy communities, sector coupling, and related fields, , including but not limited to:
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Energy Domain
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Renewable, decentralized and distributed energy resources
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Smart grids, microgrids, and energy communities
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District heating and cooling
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Energy flexibility, demand response, and load management
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Sectorial coupling
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Smart transportation
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Smart industry
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Smart cities and urban energy systems
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Smart buildings
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Hydrogen energy and fuel cells
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Energy markets, business models, and finance
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Energy policy, regulation, and economics
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Energy system sustainability, resilience and reliability, and environmental impacts
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Carbon capture, utilization, and storage (CCUS)
Informatics Domain
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Big data analytics, data management, and data visualization
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Artificial intelligence, machine learning, and natural language processing
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Internet of Things (IoT), edge computing, and smart sensors
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Cloud computing, distributed systems, and high-performance computing
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Digital twins, simulations, and modeling
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Software development and intelligent control systems
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Cybersecurity, privacy, and blockchain technologies
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Information and communication technologies (ICT) and information systems
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Cyber-physical systems and predictive maintenance
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Virtual and augmented reality

Recorded Video Presentations
A selection of presentations from the Energy Informatics Academy Conference 2026 is available as recorded videos on the Energy Informatics Academy YouTube channel.
The playlist includes all pre-recorded video submissions and any voluntary video submissions by authors. As a result, it does not cover all accepted papers or all conference sessions.
You can access the available recordings via the EI.A 2026 presentation playlist on YouTube.
Photo Gallery
Welcome
Opening & Keynote Speech - Day 1
Paper Session: Flexibility, Forecasting and Supply in District Heating
Special Session: Digital Transformation of Buildings into Active Energy Prosumers
Paper Session: HVAC, Thermal Comfort and Building Energy Performance
Keynote Speeches - Day 2
Paper Session: Trustworthy Data and Language Models for Energy Systems
Paper Session: Probabilistic Forecasting and Decision-Making under Uncertainty
Special Session: Data- and AI-Driven Energy-Climate-Economy Modeling for Mitigation-Adaptation Transitions
Keynote Speeches - Day 3
Special Session: Industrial Systems Under Climate and Energy Uncertainty: Adaptation Readiness, Energy Resilience, and Digital Intelligence
Paper Session: Grid Resilience, Energy Storage and Electric Mobility
Special Session: From Living Labs to Virtual Testbeds: Experimentation and Validation in Energy Informatics
Closing & Best Paper Awards
Site Visit - Day 4
Keynote Speakers and Presentations
Empowering Consumers and Prosumers in Electricity Markets with AI-Driven Virtual Power Plants and Energy Communities
Prof. Dr. Zita Vale
Polytechnic of Porto, Portugal
Prof. Zita Vale is Full Professor at the Polytechnic of Porto (IPP), Portugal, where she leads the GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. Her research focuses on artificial intelligence, multi-agent systems, and knowledge engineering applied to power and energy systems. She has coordinated and participated in numerous national and international R&D projects in smart grids, energy communities, demand response, and electric mobility. Prof. Vale has published extensively in leading journals and conferences and is internationally recognized for her contributions to intelligent and decentralized decision support systems for sustainable energy. She also serves as Co-Editor-in-Chief of Applied Energy.
TEI@I Methodology and Forecasting of Crude Oil Price
Prof. Shouyang Wang
Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
Shouyang Wang is a Fellow of The World Academy of Sciences (TWAS) and of the International Academy for Systems and Cybernetic Sciences (IASCYS), an Outstanding Research Fellow of the Chinese Academy of Sciences, a Distinguished Professor under the Ministry of Education’s Changjiang Scholars Award Program, and a recipient of the National Science Fund for Distinguished Young Scholars. He is Director of the Center for Forecasting Science and serves as Editor-in-Chief, Executive Editor-in-Chief, Associate Editor, or editorial board member of twelve European and American academic journals. He formerly served as Dean of the School of Economics and Management at the University of Chinese Academy of Sciences and as President of the Systems Engineering Society of China. His research spans decision analysis, complex data modelling and analysis, supply chain management, financial innovation and risk management, economic analysis and forecasting, and energy and environmental economics and policy analysis. He has published more than 520 papers, including in Science, Nature and several Nature sister journals, PNAS, and Management Science.
The Potential of Vehicle-to-Grid (V2G) in China
Title confirmed by speaker
Prof. Tieju Ma
Shanghai Jiao Tong University, China
Tieju Ma is a Distinguished Professor at the Antai College of Economics and Management, Shanghai Jiao Tong University, and a Senior Guest Research Scholar at the International Institute for Applied Systems Analysis (IIASA). He was a Changjiang Scholar Distinguished Professor appointed by the Ministry of Education and is a recipient of the National Outstanding Youth Science Fund. His long-term research focuses on technological change and energy systems analysis. His representative work has been published in leading Chinese and international journals including Management Science, PNAS, European Journal of Operational Research, Energy Economics, Journal of Management Sciences in China, and Chinese Journal of Management Science. He received the Second Prize of the Sixth Higher Education Scientific Research Outstanding Achievement Award from the Ministry of Education (2013).
Demand forecasting tasks, variables and modelling techniques for key strategic energy
Prof. Lean Yu
Sichuan University, China
Lean Yu received his PhD in Management Science and Engineering from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, in 2005. He is a distinguished professor at Sichuan University’s Business School, an Academician of the International Academy for Systems and Cybernetic Sciences, and a Fellow of the International Academy of Artificial Intelligence Sciences, International Academy of Information Technology and Quantitative Management, and Asia-Pacific Artificial Intelligence Association. He received the China National Science Funds for Distinguished Young Scholars and National Program for Support of Top-Notch Young Professionals. He has published over 100 papers in leading journals, including INFORMS Journal on Computing and IEEE Transactions on Evolutionary Computation, Knowledge and Data Engineering, and Cybernetics. His interests include Big Data Intelligence, Economic Forecasting, FinTech, and Energy Management.
Progress in Sulfide-Based All-Solid-State Batteries
Dr. Bing Yu
Deputy General Manager, Innovation Business Department, China Automotive Battery Research Institute Co., Ltd., China
YU Bing, male, Professorate Senior Engineer, received his Ph.D. from the Institute of Metal Research, Chinese Academy of Sciences in 2011. He currently serves as Deputy General Manager (presiding over work) of the Innovation Business Department at China Automotive Battery Research Institute Co., Ltd. His main research focuses on the design and process research of all-solid-state batteries and the development of silicon-carbon anode materials. He has presided over and participated in more than 10 national and provincial/ministerial projects, including projects funded by the National Natural Science Foundation of China, key special projects of the Ministry of Science and Technology, and high-quality development special projects of the Ministry of Industry and Information Technology. He has published 18 SCI papers in journals such as the Journal of the American Chemical Society and ACS Applied Materials & Interfaces, been granted 15 patents, and received one first prize of the Beijing Science and Technology Progress Award.
Proceedings
Long Papers
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Length: 12–15 pages (excluding references; additional pages may be purchased if needed)
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Content: Original research results, comprehensive technical contributions, or validated case studies
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Publication: Included in Springer LNCS proceedings
Short Papers
Length: 6–12 pages (including references)
Content: Work-in-progress, proof-of-concept, or preliminary studies with innovative insights
Publication: Included in Springer LNCS proceedings
Abstracts
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Length: Max. 250 words
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Content: Project presentations, idea pitches, or position statements
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Publication: Published only on the conference website, not in Springer LNCS

The Accepted and presented papers* will be published in the Springer Lecture Notes in Computer Science (LNCS) proceedings volume.
LNCS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc.
*Please note that the abstract papers will not be included in the Springer Lecture Notes in Computer Science (LNCS) EI.A 2026 proceedings volumes, but will be made available on the conference webpage.
Pre-Conference Proceedings
EI.A 2026 adopts a pre-conference proceedings model. Accepted and camera-ready papers will be published in the Springer Lecture Notes in Computer Science (LNCS) proceedings prior to the conference, in accordance with Springer’s publication process.
Access to the proceedings
Conference participants have free access to the EI.A 2026 proceedings (Springer LNCS) for a limited time via the links below:
Part I: Energy Informatics, LNCS Volume 16981
https://link.springer.com/book/9783032418630
Part II: Energy Informatics, LNCS Volume 16982
https://link.springer.com/book/9783032418661
The volumes are being made available online by Springer ahead of the conference. If a volume does not yet show its full content, please check back shortly.
Awards & Recognition
Best Paper Awards (3 awards)
EI.A 2026 will present three Best Paper Awards, awarded equally.
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Eligibility: Long paper submissions only
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Selection: Based on Soundness, Significance, Originality, and Content
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Award: 100 percent publication fee waiver for the extended journal version in Energy Informatics
Award recipients will be announced during the conference closing session.
Only papers accepted and physically presented at EI.A 2026 are eligible for the Best Paper Awards.

Conference Program Chairs
Program Committee
Organized by
EI.A 2026 is part of the Energy Informatics Academy, an international research community fostering long-term collaboration and excellence in energy informatics.
More information about the Energy Informatics Academy is available on the Academy homepage.

Contact Us
Email us if you have any question regarding the conference
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Please make your email title start with "EI.A 2026-Related matter"
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Email: contact@energyinformatics.academy







































































































































































































