Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data

Machine Learning Approach ◽

Residential energy consumption patterns and the overall housing energy requirements of urban and rural households in Finland

Energy and Buildings ◽

10.1016/j.enbuild.2014.02.079 ◽

2014 ◽

Vol 76 ◽

pp. 295-303 ◽

Cited By ~ 72

Author(s):

Jukka Heinonen ◽

Seppo Junnila

Keyword(s):

Energy Consumption ◽

Rural Households ◽

Consumption Patterns ◽

Energy Requirements ◽

Residential Energy ◽

Conference of the South African Institute of Computer Scientists and Information Technologists 2020 ◽

Identifying optimal clustering structures for residential energy consumption patterns using competency questions

10.1145/3410886.3410887 ◽

2020 ◽

Author(s):

Wiebke Toussaint ◽

Deshendran Moodley

Keyword(s):

Energy Consumption ◽

Consumption Patterns ◽

Residential Energy ◽

Residential energy consumption patterns: the case of Lebanon

International Journal of Energy Research ◽

10.1002/er.1086 ◽

2005 ◽

Vol 29 (8) ◽

pp. 755-766 ◽

Cited By ~ 23

Author(s):

Ahmad Houri ◽

Samira Ibrahim-Korfali

Keyword(s):

Energy Consumption ◽

Consumption Patterns ◽

Residential Energy ◽

06/01029 Residential energy consumption patterns: the case of Lebanon

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)81031-3 ◽

2006 ◽

Vol 47 (2) ◽

pp. 148

Keyword(s):

Energy Consumption ◽

Consumption Patterns ◽

Residential Energy ◽

CHANGES IN RESIDENTIAL ENERGY CONSUMPTION PATTERNS AND FUTURE TREND IN JAPAN

Journal of Architecture and Planning (Transactions of AIJ) ◽

10.3130/aija.67.53_2 ◽

2002 ◽

Vol 67 (555) ◽

pp. 53-60 ◽

Cited By ~ 7

Author(s):

Hidetoshi NAKAGAMI ◽

Akio TANAKA ◽

Chiharu MURAKOSHI ◽

Osamu ISHIHARA

Keyword(s):

Energy Consumption ◽

Future Trend ◽

Consumption Patterns ◽

Residential Energy ◽

Data-driven classification of residential energy consumption patterns by means of functional connectivity networks

Applied Energy ◽

10.1016/j.apenergy.2019.03.134 ◽

2019 ◽

Vol 242 ◽

pp. 506-515 ◽

Cited By ~ 6

Author(s):

Rene Markovič ◽

Marko Gosak ◽

Vladimir Grubelnik ◽

Marko Marhl ◽

Peter Virtič

Keyword(s):

Energy Consumption ◽

Functional Connectivity ◽

Consumption Patterns ◽

Data Driven ◽

Residential Energy ◽

Lecture Notes in Civil Engineering - Proceedings of 3rd International Sustainable Buildings Symposium (ISBS 2017) ◽

A Comprehensive Study on the Effect of Households’ Evolution on Residential Energy Consumption Patterns

10.1007/978-3-319-63709-9_39 ◽

2018 ◽

pp. 485-500

Author(s):

Moulay Larbi Chalal ◽

Medjdoub Benachir ◽

Michael White ◽

Golnaz Shahtahmassebi ◽

Raid Shrahily

Keyword(s):

Energy Consumption ◽

Consumption Patterns ◽

Residential Energy ◽

Energy Consumption Patterns ◽

Comprehensive Study

Pattern Recognition. ICPR International Workshops and Challenges - Lecture Notes in Computer Science ◽

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing

10.1007/978-3-030-68799-1_45 ◽

2021 ◽

pp. 622-636

Author(s):

Yixin Li ◽

Fu Hu ◽

Jian Qin ◽

Michael Ryan ◽

Ray Wang ◽

...

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Additive Manufacturing ◽

Learning Approach ◽

Machine Learning Approach ◽

Hybrid Machine ◽

Energy Consumption Prediction ◽

Consumption Prediction

Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach

Applied Energy ◽

10.1016/j.apenergy.2021.117453 ◽

2021 ◽

Vol 301 ◽

pp. 117453

Author(s):

Zhongnan Ye ◽

Kuangly Cheng ◽

Shu-Chien Hsu ◽

Hsi-Hsien Wei ◽

Clara Man Cheung

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Learning Approach ◽

Building Energy Consumption ◽

City Block ◽

Machine Learning Approach ◽

Block Level ◽

Level Building

Machine Learning Approach Electric Appliance Consumption and Peak Demand Forecasting of Residential Customers Using Smart Meter Data

Wireless Personal Communications ◽

10.1007/s11277-019-06845-6 ◽

2020 ◽

Vol 111 (1) ◽

pp. 65-82 ◽

Cited By ~ 2

Author(s):

Fikirte Zemene Abera ◽

Vijayshri Khedkar

Keyword(s):

Machine Learning ◽

Demand Forecasting ◽

Learning Approach ◽

Smart Meter ◽

Peak Demand ◽

Machine Learning Approach