Development of building energy saving advisory: A data mining approach-Reference-Cited by-同舟云学术

Development of building energy saving advisory: A data mining approach

Published:2018-08 Issue: Volume:172 Page:139-151
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Ashouri Milad,Haghighat Fariborz^ORCID,Fung Benjamin C.M.^ORCID,Lazrak Amine,Yoshino Hiroshi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference33 articles.

1. A review on buildings energy consumption information;Pérez-Lombard;Energy and Buildings,2008

2. D. Bourgeois, Detailed occupancy prediction, occupancy-sensing control and advanced behavioral modeling within whole-building energy simulation, Ph.D. Thesis, l'Universite Laval, Quebec, 2005.

3. Data Science and Prediction;Dhar;Communications of the ACM,2013

4. Occupant Behavior: Impact On Energy Use of Private Offices;Hong,2013

Cited by 78 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. Modelling occupant behaviour in residential buildings: A systematic literature review;Building and Environment;2024-11

2. LightGBM-, SHAP-, and Correlation-Matrix-Heatmap-Based Approaches for Analyzing Household Energy Data: Towards Electricity Self-Sufficient Houses;Energies;2024-09-09

3. A cloud-oriented data-analysis framework to analyze peak demand dynamics in institutional building clusters;Sustainable Cities and Society;2024-09

4. Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil;Mathematics;2024-06-25

5. Heating performance analysis of solar assisted ground source heat pump in Northern Jiangsu, China;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13