State transition stochastic model for predictingofftooncooling schedule in dwellings as implemented using a multilayered artificial neural network-Reference-Cited by-同舟云学术

State transition stochastic model for predictingofftooncooling schedule in dwellings as implemented using a multilayered artificial neural network

Published:2012-01 Issue:1 Volume:5 Page:45-53
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Tanimoto Jun,Hagishima Aya

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

http://www.tandfonline.com/doi/pdf/10.1080/10256018808623883

Reference8 articles.

1. The adaptive model of thermal comfort and energy conservation in the built environment

2. Modelling of solar energy potential in Nigeria using an artificial neural network model

3. Nicol, J. F. Characterising occupant behavior in building: towards a stochastic model of occupant use of windows, lights, blinds heaters and fans. Proc of 7th international IBPSA conference. pp.1073–1078.

4. Cooling load prediction in a district heating and cooling system through simplified robust filter and multilayered neural network

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