MOULOUD DENAÏ, graduated from the University of Science and Technology of Algiers and the École Nationale Polythechnique of Algiers, Algeria, in electrical engineering, and received the Ph.D. degree in control engineering from The University of Sheffield, U.K. He was with the University of Science and Technology of Oran, Algeria, until 2004. From 2004 to 2010, he was with The University of Sheffield. From 2010 to 2014, he was with the University of Teesside, U.K. Since 2014, he has been with the University of Hertfordshire, U.K. His main fields of expertise are in modeling, optimization, and control of engineering and life science (biological and biomedical) systems. His current research interests in energy include intelligent control design and computational intelligence applications to efficiency optimization in renewable energy systems with particular focus in the management of smart homes and dynamic scheduling, optimization and control of future smart grids, condition monitoring and asset management in electric power networks; energy storage systems integration into the grid; smart meter data analytics using machine learning techniques for efficient energy management; electric vehicles integration into the distribution grid; and V2G/G2V management