Blind signal separation applied to power load profiles computation
Frédéric Krüger, Daniel Wagner, Pierre Collet · 2013
Electrical distribution companies struggle to find precise energy demand for their networks. They have at their disposal statistical tools such as power load profiles, which are however usually not precise enough and do not take into account factors such as the presence of electrical heating devices or the type of housing of the end users. In this paper, we show how the determination of accurate load profiles can be considered as a noisy blind source separation problem solved by an evolutionary algorithm. The power load profiles obtained demonstrate considerable improvement in the load curve forecasts of 20kV/400V substations.