Hesham Al-Ammal teaches Computer Science at the University of Bahrain. He graduated with a BSc from KFUPM, Saudi Arabia; an MSc in Computer Science from Louisiana State University, USA; and a PhD in Computer Science from the University of Warwick, UK. He held several administrative positions at the University of Bahrain, including Director of the Quality Assurance Center (2008-2011), and Dean of the College of Information Technology (2011-2017). His research interests include: algorithms, cyber security, and data analytics.
The presentation will review the latest load forecasting techniques, in the context of different scale and horizons. Today, the competitive energy market demands more accurate forecasting at different scales, ranging from a single smart-meter (end-user) up to a whole power grid system. As a result of this market need, load forecasting is considered today as an essential part of the electricity industry’s planning process.
Load forecasting is not only important for the management of electricity’s generation, transmission, and distribution; but also, is crucial for consumers in order to optimize the use of their home electricity management systems. Although some past reviews investigate load forecasting, but a very few consider all possible scales and horizons. An up to date survey of load forecasting techniques will also will be presented by considering new trends such as distributed load forecasting, cloud computing techniques, real-time, and stream processing algorithms.
The is joint work with Sameem Abdul Kareem and Elham M. Eskandarnia, University of Malaya, Malaysia.