Machine learning‐based energy consumption clustering and forecasting for mixed‐use buildings-Reference-Cited by-同舟云学术

Machine learning‐based energy consumption clustering and forecasting for mixed‐use buildings

Published:2020-05-18 Issue:12 Volume:44 Page:9659-9673
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Culaba Alvin B.¹²^ORCID,Del Rosario Aaron Jules R.¹,Ubando Aristotle T.¹²^ORCID,Chang Jo‐Shu³⁴⁵^ORCID

Affiliation:

1. Mechanical Engineering Department De La Salle University Manila Philippines

2. Center for Engineering and Sustainable Development Research De La Salle University Manila Philippines

3. Department of Chemical and Materials Engineering College of Engineering, Tunghai University Taichung Taiwan

4. Research Center for Energy Technology and Strategy National Cheng Kung University Tainan Taiwan

5. Department of Chemical Engineering National Cheng Kung University Tainan Taiwan

Funder

Engineering Research and Development for Technology Consortium Scholarship Program

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5523

Reference36 articles.

1. Modeling and forecasting building energy consumption: A review of data-driven techniques

2. KMB Design Group. Sustainable Building Success: Meeting the Demands of Mixed‐Use Facilities. 2016. [Online].https://www.kmbdg.com/articles/meeting-demands-mixed-use-facilities-sustainable-building/.

3. Design of a base Case Mixed-use Community and its Energy Performance

4. An analysis of load reduction and load shifting techniques in commercial and industrial buildings under dynamic electricity pricing schedules

5. Modeling the electrical energy consumption profile for residential buildings in Iran

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