Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks-Reference-Cited by-同舟云学术

Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks

Published:2002-02 Issue:2 Volume:71 Page:87-110
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Aydinalp Merih,Ismet Ugursal V.,Fung Alan S.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference34 articles.

1. Natural Resources Canada (NRCan). Energy efficiency indicators database. http://oee.nrcan.gc.ca/general/trends/indexe.htm; August 2001.

2. Impact of appliance efficiency and fuel substitution on residential end-use energy consumption in Canada;Ugursal;Energy and Buildings,1996

3. Residential carbon-dioxide emissions in Canada: Impact of efficiency improvements and fuel substitution;Ugursal;Global Environmental Change,1998

4. A residential end-use energy consumption model for Canada;Farahbakhsh;International Journal of Energy Research,1998

5. Aydinalp M, Ugursal VI, Fung A. Modeling of residential energy consumption at the national level. The Twelfth International Symposium on Transport Phenomena, Istanbul, Turkey, July 2000.

Cited by 211 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved energy retrofit decision making through enhanced bottom-up building stock modelling;Energy and Buildings;2024-09

2. CRISP-DM-Based Data-Driven Approach for Building Energy Prediction Utilizing Indoor and Environmental Factors;Sustainability;2024-08-23

3. Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings;Energy;2024-07

4. Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector;Energy;2024-07

5. A Measurement-based Model for Generating Household Power Load Profiles;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24