Intelligent Building with Multi-Energy System Planning Method Considering Energy Supply Reliability

Abstract

Energy consumption is important to consume less power, reducing toxic fumes released by plants, preserving natural resources, and protecting ecosystems against damage. The challenging characteristics in energy supply include lack of renewable energy adoption, and policy and energy management are considered essential factors. An artificial intelligent building with a multi-energy planning method (AIBMEM) has been proposed to design multi-energy systems to achieve the best policy and energy management techniques. The intelligent construction problem with multi-energy is framed as a predictive energy model to minimize the overall utilization of energy levels. The normal distribution with the artificial intelligent model is introduced to solve the problem of renewable energy. The experimental results based on reliability, effectiveness, preservation, energy consumption, and control systems show that the suggested model is better than existing models, producing good performance analysis results.