On behalf of the Local Committee, we are delighted to invite you to the International Conference on Energy, Intelligence Systems, and Cloud Computing (Ingenio 2026), to be hosted by the School of Electrical Engineering and the School of Artificial Intelligence at Shenyang University of Technology, Liaoning, China. The conference will be held in a hybrid format (both in-person and online) from July 29-31, 2026, at the Shenyang Sun Lion Marriott Hotel (Renaissance Hotel).
Conference Focus
Ingenio 2026 serves as a forum for researchers and industry experts to share innovative solutions that bridge advanced technology with real-world operational needs. The conference encourages submissions that explore applications beyond controlled laboratory environments, fostering exchange between theory-driven and data-driven approaches. We aim to facilitate meaningful discussions among young researchers, industry professionals, and research agencies in fields such as Computer Science, Information Technology, Artificial Intelligence, Electrical Engineering, Electronics, and Communication Engineering. Join us to share insights, collaborate, and contribute to realistic and impactful outcomes in energy, intelligent systems, and cloud computing.
On behalf of the Organizing Committee, we are delighted to invite researchers, academicians, industry experts, and practitioners to submit their original research contributions to the upcoming international Book:
“International Book on Artificial Intelligence for Next-Generation Energy Systems: Sustainable, Secure, and Intelligent Solutions”
The Book aims to explore the transformative role of Artificial Intelligence in modern energy systems, focusing on sustainability, cybersecurity, smart grid technologies, renewable energy integration, intelligent energy management, predictive analytics, IoT-enabled energy infrastructures, cloud-edge intelligence, and emerging AI-driven solutions for future energy ecosystems.
This will provide a premier platform for researchers and professionals from academia, industry, and government organizations to exchange innovative ideas, present cutting-edge research findings, and discuss practical challenges and future directions in intelligent energy technologies.
We invite researchers, academicians, scientists, practitioners and industry professionals to contribute original research chapters to the forthcoming Springer book Generative AI for Climate-Resilient Hydrology: Synthetic Data, Forecasting and Predictive Sustainable Applications.
The book focuses on emerging applications of Generative AI, synthetic data, advanced forecasting, predictive modelling and sustainable technologies for addressing challenges in hydrology, climate variability, extreme events and water-resource management.