A Multi-Objective Method for Short-Term Load Forecasting in European Countries

作者：Tucci Mauro^*; Crisostomi Emanuele; Giunta Giuseppe; Raugi Marco

来源：IEEE Transactions on Power Systems, 2016, 31(5): 3537-3547.

DOI：10.1109/TPWRS.2015.2509478

• Multi-objective optimization
• short-term load forecasting
• similar shape algorithms

In this paper we present a novel method for daily short-term load forecasting, belonging to the class of "similar shape" algorithms. In the proposed method, a number of parameters are optimally tuned via a multi-objective strategy that minimizes the error and the variance of the error, with the objective of providing a final forecast that is at the same time accurate and reliable. We extensively compare our algorithm with other state-of-the-art methods. In particular, we apply our approach upon publicly available data and show that the same algorithm accurately forecasts the load of countries characterized by different size, different weather conditions, and generally different electrical load profiles, in an unsupervised manner.

• 出版日期2016-9