The building energy consumption represents an important domain of study because of these implications to social, economic and environmental issues. Many complex tasks can be solved using the artificial intelligence methods. The paper describes the building energy consumption evaluation with aid of neural network solutions. Based on the known building behavior data the neural network is trained for evaluation of different solutions for the new building. This new method reduces the building design duration and saving spends founds.
