Data Analytics for Energy Problems
Data analytics for energy problems involves extracting insights from large and complex energy datasets to improve system performance and decision-making. Advanced analytics techniques such as statistical analysis, machine learning, and optimization are used to address challenges in demand forecasting, energy efficiency, fault diagnosis, and system planning. Data analytics supports predictive maintenance, real-time monitoring, and performance optimization in power systems, buildings, and industrial processes. It enables utilities and policymakers to make evidence-based decisions that improve reliability and reduce costs. As digitalization increases across energy systems, data analytics has become essential for managing variability, enhancing efficiency, and supporting sustainable energy transitions.
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