Data mining methodology for disaggregation of load demand

This paper presents a new method in data mining to analyze the composition of the electric demand among the different consumption and the behavior of each type of load. The proposed method uses a heuristic optimization algorithm (Tabu Search) for minimizing the error between the real demand and the calculated approximation to this demand. This search is adaptative because the algorithm changes the relative weight of each load as well as the profile of each load. The obtained results show the good operation of the proposed methodology. Also, it is possible to observe that this approach to the knowledge of the demand is better than the classic approach in which “a picture” of the consumption can be obtained, while this methodology obtains the evolution of this consumption in time; that is to say, it shows “a movie” of the behavior of the loads.