AI, Machine Learning & Data Analytics in Energy
This AI, Machine Learning & Data Analytics in Energy session focuses on the application of artificial intelligence, machine learning, and advanced data analytics across energy systems. Topics include demand forecasting, anomaly detection, predictive maintenance, optimization of plant operation, and renewable output prediction. Contributions may use supervised, unsupervised, reinforcement, or physics-informed learning approaches. The session welcomes work on data acquisition, data quality, and integration of heterogeneous datasets from sensors, SCADA systems, and markets. Interpretability, robustness, and cybersecurity issues in AI-driven control are also relevant. Case studies demonstrating performance improvements, cost reductions, or reliability gains through data-driven methods are particularly encouraged.
Dai Yeun Jeong
Asia Climate Change Education Center, Korea, Republic of
Scott Kelly
University of Cambridge, United Kingdom
Deinar Agudelo Ortiz
Natural Motos sas, Colombia
Ricson Chude
Association of Energy Engineers, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Sabine Rode
University of Lorraine, France
Vladimir Chigrinov
Hong Kong University of Science and Technology, Hong KongSubmit your abstract Today
Title : The autonomy curve: The impact of ai on energy systems
Scott Kelly, University of Cambridge, United Kingdom
Title : Energy performance of world’s first vacuum insulated heatable curtain for realistic energy-loss reduction with mild radiant heating
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Transforming waste plastic into renewable hydrogen: A review of progress, challenges, and future directions through pyrolysis, distillation, and hydrotreatment process
Nur Hassan, Central Queensland University, Australia
Title : Why should nature be conserved
Dai Yeun Jeong, Asia Climate Change Education Center, Korea, Republic of
Title : Inclusive energy transition through productive small-scale mobility: Natural gas and LPG solutions for two- and three-wheel transport
Deinar Agudelo Ortiz, Natural Motos sas, Colombia
Title : Micro grid of power electronics, renewable energy storage, and collaboration opportunities
Mustafa Ergin Sahin, RTE University, Turkey