Prediction and Optimization of Building Energy Consumption Using Soft-Computing Methods Part1: Basic Concepts and case study

In this paper, the basic concepts of prediction and optimization of building energy consumption using a novel method which is a combination of neural network, fuzzy control and genetic algorithm is presented. The main idea is to combine the potential capabilities of genetic algorithm and fuzzy control in an efficient manner. The basic concept is developed and a case study is discussed. The results are encouraging and the method will be implemented to a BMS problem