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A significant part of CO2 emissions is due to high electricity consumption in residential buildings.
Knowledge-based recommender systems
Robin Burke · 2000
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Content-based recommendation systems
Michael J. Pazzani and Daniel Billsus · 2007
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Collaborative filtering recommender systems
Ben J. Schafer, Dan Frankowski, Jon Herlocker, and Shilad Sen · 2007
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Wanted: A more intelligent grid
Jay Giri, David Sun, and Rene Avila-Rosales · 2008
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Remote-controllable and energy- 912 saving room architecture based on zigbee communication
Jinsoo Han, Haeryong Lee, and Kwang-Roh Park · 2009
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Demand side management: Demand response, intelligent energy systems, and smart loads
Peter Palensky and Dietmar Dietrich · 2011
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Context-aware recommender systems
Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, and Alexander Tuzhilin · 2011
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Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction
Paddy Finn, Maurice W. O’Connell, and Colin Fitzpatrick · 2012
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Further exploring the potential of residential demand response programs in electricity distribution
Cajsa Bartusch and Karin Alvehag · 2014
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Hardware home energy management system for monitoring the quality of energy service at small consumers
Ciprian Ionut Paunescu, Tudor Zabava, Lucian Toma, Constantin Bulac, and Mircea Eremia · 2014
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Ann–ga smart appliance scheduling for optimised energy management in the domestic sector
Baris Yuce, Yacine Rezgui, and Monjur M. Mourshed · 2015
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Intelligent multi-agent system for smart home energy management
Weixian Li, Thillainathan Logenthiran, and Wai Lok Woo · 2015
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An automated residential demand response pilot experiment, based on day-ahead dynamic pricing
Koen Vanthournout, Benjamin Dupont, Wim Foubert, Catherine Stuckens, and Sven Claessens · 2015
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Advances in Collaborative Filtering , pages 77–118
Yehuda Koren and Robert Bell · 2015
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Group recommender systems: Aggregation, satisfaction and group attributes
Judith Masthoff · 2015
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Day-ahead prices (12.1.d) [online database]
ENTSO-E · 2015
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Non–intrusive energy saving appliance recommender system for smart grid residential users
Fengji Luo, Gianluca Ranzi, Weicong Kong, Zhao Yang Dong, Shu Wang, and Junhua Zhao · 2016
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Dr-advisor: A data-driven demand response recommender system
Madhur Behl, Francesco Smarra, and Rahul Mangharam · 2016
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Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the netherlands
Elke A.M. Klaassen, Charlotte B.A. Kobus, Jasper Frunt, and Han J.G. Slootweg · 2016
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Recommender Systems
Charu C. Aggarwal · 2016
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Residential demand response: Experimental evaluation and comparison of self-organizing techniques
Multi-agent recommendation system for electrical energy optimization and cost saving in smart homes
Diego Jiménez-Bravo, Javier Pérez-Marcos, Daniel de La Iglesia, Gabriel Villarrubia González, and Juan de Paz · 2019
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Pricing-based demand response for a smart home with various types of household appliances considering customer satisfaction
Yi Liu, Liye Xiao, Guodong Yao, and Siqi Bu · 2019
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Progress in context-aware recommender systems - an overview
Shaina Raza and Chen Ding · 2019
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2050 long-term strategy
European Commission · 2020
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Rehab-c: Recommendations for energy habits change
Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Abdullah Alsalemi, Faycal Bensaali, Yassine Himeur, and Abbes Amira · 2020
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Ivana Dusparic, Adam Taylor, Andrei Marinescu, Fatemeh Golpayegani, and Siobhán Clarke · 2017
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Context-aware recommender system: A review of recent developmental process and future research direction
Khalid Haruna, Maizatul Akmar Ismail, Suhendroyono Suhendroyono, Damiasih Damiasih, Adi Cilik Pierewan, Haruna Chiroma, and Tutut Herawan · 2017
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An electrical load measurements dataset of united kingdom households from a two-year longitudinal study [data set]
David Murray, Lina Stankovic, and Vladimir Stankovic · 2017
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Fuzzy energy management controller and scheduler for smart homes
Rabiya Khalid, Nadeem Javaid, Muhammad Hassan Rahim, Sheraz Aslam, and Arshad Sher · 2018
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Multi-agent-based cbr recommender system for intelligent energy management in buildings
Tiago Pinto, Ricardo Faia, Gabriel Navarro-Caceres, Maria Santos, Juan Manuel Corchado, and Zita Vale · 2018
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A content-based recommender system for computer science publications
Donghui Wang, Yanchun Liang, Dong Xu, Xiaoyue Feng, and Renchu Guan · 2018
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A utility-based news recommendation system
Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, and Aijun An · 2018
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Fengji Luo, Gianluca Ranzi, Weicong Kong, Gaoqi Liang, and Zhao Yang Dong · 2020
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Hems-iot: A big data and machine learning-based smart home system for energy saving
Isaac Machorro-Cano, Giner Alor-Hernández, Mario Andrés Paredes-Valverde, Lisbeth Rodríguez-Mazahua, José Luis Sánchez-Cervantes, and José Oscar Olmedo-Aguirre · 2020
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A deep-reinforcement-learning-based recommender system for occupant-driven energy optimization in commercial buildings
Peter Wei, Stephen Xia, Runfeng Chen, Jingyi Qian, Chong Li, and Xiaofan Jiang · 2020
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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, and Abbes Amira · 2021
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Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
Iraklis Varlamis, Christos Sardianos, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, and Abbes Amira · 2021
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Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, George Bravos, Christos Sardianos, and George Dimitrakopoulos · 2021
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Impacts of home energy management systems on electricity consumption
Sanna Tuomela, Mauricio de Castro Tomé, Netta Iivari, and Rauli Svento · 2021
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A framework for estimating the energy-saving potential of occupant behaviour improvement
Zhiyuan He, Tianzhen Hong, and S.K. Chou · 2021
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Household power usage pattern filtering-based residential electricity plan recommender system
Pengxiang Zhao, Zhao Yang Dong, Ke Meng, Weicong Kong, and Jiajia Yang · 2021
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