A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings
Rooftop HVAC sensors were monitored daily at various temperatures. Real-time decision support system forecasts MCF demand for natural gas. Model predicts cost savings based on price, operating expenses, cost to gas on, etc. Statistics, ANN, fuzzy logic, and nearest neighbor methods are used to compare demand.
decision support system nearest neighbor method energy forecasting artificial neural networks natural gas demand wireless sensor networks