Realizing smart grid benefits requires energy optimization algorithms at residential level

One of the objectives of smart grid is to enable participation by informed customers in order to realize money and energy savings, and environmental benefits. This paper discusses the critical role that energy optimization algorithms will play at residential level to effectively achieve these benefits. A formulation of the optimization problem based on mixed-integer linear programming theory is proposed, and the implications of energy optimization algorithms on consumers, energy policies and markets are discussed.