Analyzing Energy Management And Investigating The Applications Of Artificial Intelligence In Energy Management

Artificial intelligence can help improve forecasts in electricity trading. This technology makes it easier to systematically evaluate large amounts of data, such as weather data or data extracted from the past. Achieving better and more accurate predictions increases the stability of the network and further makes the system more secure. Machine learning and neural networks can play an important role in improving predictions in the energy industry. The meaning of energy management is to reduce the consumption of energy carriers and energy costs according to the geographical location, technical, economic and environmental parameters of the final consumer such as A building is a building complex or administrative, educational, etc. premises. The first stage of building energy management is knowing the existing situation and the current structure of energy consumption in the building, which is called energy audit and consists of different stages. Energy audit is the heart of energy management and analysis of current energy consumption, identification of energy consumption bottlenecks and their complications, providing solutions and treatment of building energy consumption complications are done at this stage. After identifying the solutions, the implementation plan of the solutions is completed and based on the technical and economic criteria, the considered solutions are implemented, which is the second stage of energy management. In the third stage, the evaluation of the effects of the solutions, their sustainability and effectiveness on the energy consumption of the building is done using common methods of evaluation, validation and verification, which in fact, this stage determines the success rate of building energy management in the short and long term. expresses Terms such as energy management, energy optimization, and energy saving are often used interchangeably with the same meanings. In this article, the applications of artificial intelligence in energy management are examined.

Keywords:

Artificial intelligence , energy management , electricity , renewable , power plant