Automated Heat Ventilation and Air Conditioning Systems using AI.

      Аннотация: When thinking about energy efficiency, one of the most important decisions to be made regarding a new home is the type of heating and cooling system to install. Equally critical to consider is the selection of the heating and cooling contractor. The operating efficiency of a system depends as much on proper installation as it does on the performance rating of the equipment. By playing with the physical concepts of hot and cold air assisted with technological control schemes, we are able to perform the ventilation in the most optimal methodology available. The main objective is to minimize the energy consumption by shifting towards a proposed system using the concept of IOT, controller automation and mathematical data analysis. The need for automated temperature control is increasing day by day with smart and effective control methods. This project proposes to automate and increase efficiency of temperature control using regression model algorithms in the air-conditioned coaches of the Railways and other enclosed environments to provide optimum temperatures for comfortable travel to passengers with minimal human-machine contact.

Ключевые слова: Automation, HVAC, Artificial Intelligence, Efficiency, Communications, Electronics, Heat Transfers, Cooling Systems, regression, Algorithms, Machine Learning, neural networks, economics, Intelligent systems, Power Engineering, Energy Distribution, energy storage, Mechanical Movements, Coolant Gases, Heat Pumps, Passenger Comfort, Health, Inter-Operability, Resilient