Call For Papers
On behalf of the SES 2025 Committee, we are pleased to welcome you all to the first edition of the Smart Energy Systems (SES) conference, which will be held from February 15th to 18th, 2025, in Paris, France. This year, the conference will center around the “AI for Smart Energy” theme, focusing on its applications in emerging energy systems and networks. This encompasses addressing the challenges and opportunities of AI to enhance efficiency, sustainability, and innovation in smart energy technologies.
In an era marked by heightened demands for efficiency, security, and sustainability in modern energy systems, the integration of AI solutions becomes pivotal. The SES conference is dedicated to exploring innovative approaches in the realm of smart energy systems, focusing on the transformative power of machine/deep learning to overcome existing challenges and limitations. These include optimizing energy efficiency, fortifying cybersecurity, enabling predictive analytics in energy production and consumption, promoting sustainable practices, and providing real-time decision support for dynamic conditions. Join us in harnessing the potential of machine learning to revolutionize smart energy solutions and ensure a resilient, cost-effective, and sustainable energy future.
The technological disruption is impacting society and leading to a new industrial revolution. This social and industrial change presents new technological environments constituted by ubiquitous systems and large amounts of information, which require a change in the way we approach energy management. Using big data, data science, and AI/machine learning/deep learning models strengthens the capabilities of energy analysts and operators to face new challenges in smart energy management. This new trend, known as cognitive energy management, poses new challenges for researchers and companies to seek proactive and innovative energy solutions according to this technological change.
AI, particularly machine learning (ML), is increasingly indispensable in the realm of smart energy for emerging systems and applications. With the emergence of new use cases such as smart grids, autonomous energy systems, and technologies like the Internet of Things (IoT), renewable energy sources, and energy storage systems, the vision of AI-driven smart energy is becoming more defined. Advanced deep learning techniques, including transfer learning, federated learning, and large language models (LLM), play a pivotal role in optimizing energy management, enhancing energy efficiency, and ensuring the resilience of energy systems. Moreover, these methods facilitate the development of adaptive and intelligent energy frameworks for operators.
SES 2025 aims to cover a broad spectrum of state-of-the-art and emerging topics related to AI-driven smart energy for emerging systems, networks, and applications. Anticipated to draw a significant number of high-quality submissions, the conference will foster cutting-edge research discussions (full/short papers) among numerous pioneering academic researchers/scientists and industrial engineers/leaders from around the world in the field of AI for smart energy.
The SES 2025 program will include several symposia, workshops, invited presentations, special sessions, and pioneering keynote speakers. Prospective authors are encouraged to submit original technical papers of up to 6 pages in length using the corresponding EDAS link.
During this conference, experts from academia and various industry sectors will explore the opportunities afforded by the latest AI techniques in smart energy. Additionally, they will discuss the challenges associated with integrating AI into the design and operation of next-generation energy networks and systems, thereby ensuring robust and comprehensive solutions to the evolving challenges in smart energy management.
Topics
Accepted papers will be published in the IEEE IWCMC 2024 proceedings and will be submitted to the IEEE digital library (IEEE Xplore). Authors are welcome to submit original papers (not published before or simultaneously to another venue) with topics that include but are not limited to:
- AI/ML-Based Smart Energy Solutions
- Smart Renewable Energy Systems
- Predictive Analytics in Energy Consumption
- Real-time Decision Support
- Fault Detection and Diagnostics
- Energy Storage Management
- Cybersecurity for Smart Energy Systems
- Grid Resilience
- Demand Response Optimization
- Energy Production and Consumption
- Smart Cities Energy Management
- IoT for Smart Energy
- Blockchain and Energy Transactions
- Edge Computing for Smart Energy Systems
- Energy-Aware Manufacturing
- Energy-Efficient Transportation Systems
- Intelligent Home Energy Management
- Sustainable Data Centers
- Adaptive Energy Distribution Networks
- Resilient Machine Learning for Energy Infrastructure
- Cloud-Based Energy Management Systems
- Fog Computing for Real-Time Data Processing
- Lightweight Machine Learning for Smart Energy
- Cognitive Buildings
- Innovative Engineering Applications of Machine Learning
Submitted papers are encouraged to address novel technical challenges or industrial and standard aspects of the key technologies for sustainable and intelligent AI cybersecurity solutions.
Submission Guidelines
- Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions should be written in English with a maximum of eight (8) printed pages (in Two-Column IEEE Conference Format), including text, figures, and references.
- Papers should be submitted through EDAS: https://edas.info/N32449
- In addition, the best papers will be considered for fast-track publication in the Annals of Telecommunications (Springer, ISI-indexed)