Hybrid Decision-Making System in Dispersed and Distributed Generation Management

摘要

The basic aim of the present paper is to present a practical solution of an intelligent Business Class system of aiding decision-making in activity management processes of small energy sources functioning on the electricity market. The solution has been worked out by the authors of the paper. A hybrid approach combining SHELL applications and neural networks has been applied. This hybrid, together with expert systems, aid preprocessing of expert knowledge in prediction and decision generating processes in neural networks (MLP - Multilayer Perceptrons and GRNN - Generalized Regression Neural Network). The whole system functions on the basis of knowledge databases, developed using CAKE tools.