Neural Network Modelling and Residential Building Energy Consumption

Analysis of a Residential Building Energy Consumption Demand Model (13 page pdf, Wei Yu, Baizhan Li, Yarong Lei and Meng Liu, Energies 2011, 4(3), 475-487, Mar. 10, 2011)


One of the largest sources of greenhouse gas emissions world-wide is the fuel used to heat (or cool) residences. Today’s review article uses advanced neural network modelling to analyse energy consumption for a large (32M population) city in southwestern China (Chongqing), using a set of 16 filtered indicators. Comparison of model results with actual ones showed less than 3% error and promise for further applications to optimize building energy consumption.

To see Key Quotes and relevant articles, go to the new site for Pollution Free Cities by clicking HERE


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