Chapter 2 - Computational Intelligence in Smart Grid Environment

Abstract

This chapter presents one way of incorporating computational intelligence into smart grid environment. We introduce an energy ecosystem, where contemporary technologies are used and by involving advanced methods of data analysis and optimization, we aim to ensure its effective operation. In order to schedule reliable energy supply, the prediction models for power load consumption and for energy spot prices are inevitable. We provide an overview of forecasting and optimization methods and propose solutions, which deal with stream and online processing as well as adaptivity of the proposed solutions. Several different prediction methods including statistical methods and computational intelligence methods, as well as our proposed ensemble and online SVR method are compared. We take into account the current trends of distributed energy generation from renewable sources and anticipate massive usage of electro vehicles in the near future, where the optimization of the whole environment is needed.