Earth, water, air, food, shelter and energy are essential factors required for human being to survive on the planet. Among this energy plays a key role in our day to day living including giving lighting, cooling and heating of shelter, preparation of food. Due to this interdependency, energy, specifically electricity, production and distribution became a high tech industry. Unlike other industr...

This paper presents an artificial neural network (ANN) approach to electric energy consumption (EEC) forecasting. In order provide the forecasted energy consumption, the ANN interpolates between the EEC and its determinants in a training data set. In this study, two ANN models are presented and implemented on real EEC data. The first model is a univariate model based on past consumption values....

This paper proposes a three-step approach to forecasting time series of electricity consumption at different levels household aggregation. These are linked by hierarchical constraints—global is the sum regional consumption, for example. First, benchmark forecasts generated all using generalized additive models. Second, each series, aggregation algorithm ML-Poly, introduced Gaillard, Stoltz, and...