Intelligent Energy Conservation: Indoor Temperature Forecasting with Extreme Learning Machine

摘要

At present, most of the buildings are using process of heating, ventilation and air conditioning(HVAC)-systems. HVAC systems are also responsible for consumption of huge amount of energy. Home automation techniques are being used to reduce the waste of resources especially energy that is available to us in the form of temperature, electricity, water, sunlight, etc. Forecasting and predicting the future demand of the energy can help us to maintain and to reduce the cost of energy in the buildings. In this paper, we use the experiments the small medium large system (SMLsystem) which is the house built at the university of CEU cardinal Herrera (CEU-UCH) for competition named Solar Decathlon 2013. With the data available from this experiments, we try to predict and forecast the future temperature condition intelligently for energy conservation with the model based on Extreme Learning Machine(ELM). This will help in determining the energy needs of the buildings and further will help in efficient utilization and conservation of energy.