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

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: