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Access to sustained clean cooking in India is essential to addressing the health burden of indoor air pollution from biomass fuels, but spatial inequality in cities can adversely affect uptake and effectiveness of policies amongst…

Physics and Society · Physics 2021-09-20 A. P. Neto-Bradley , R. Choudhary , P. Challenor

What drives cross-state differences in U.S. energy consumption? We combine LMDI decomposition, stochastic frontier analysis, and variable-importance methods on a panel of 50 states plus DC over the 2006--2022 period. The observed 12.8%…

General Economics · Economics 2026-04-15 David Benatia , Rémy Molinié , Pierre-Olivier Pineau

Residential heating and cooling currently account for approximately 7% of electricity consumption of India. A warming climate will increase residential cooling requirements, while heating needs will decrease which is an alarming consequence…

Systems and Control · Electrical Eng. & Systems 2023-07-18 Raj S. Srivastava , A. Aravinda De Chinnu , Aakash C. Rai

The paper presents findings from a comprehensive study examining the saving and credit behaviors of low-income households residing in unauthorized colonies within a metropolitan area. Utilizing a dual approach, the study engaged in…

General Economics · Economics 2024-12-05 Divya Sharma

Residential homes constitute roughly one-fourth of the total energy usage worldwide. Providing appliance-level energy breakdown has been shown to induce positive behavioral changes that can reduce energy consumption by 15%. Existing…

Machine Learning · Computer Science 2019-09-15 Yiling Jia , Nipun Batra , Hongning Wang , Kamin Whitehouse

From both global and local perspectives, there are strong reasons to promote energy efficiency. These reasons have prompted leaders in the European Union (EU) and countries of the Middle East and North Africa (MENA) to adopt policies to…

General Economics · Economics 2019-04-29 Marc Ringel , Roufaida Laidi , Djamel Djenouri

Fuel poverty affects between 50 and 125 million households in Europe and is a significant issue for both developed and developing countries globally. This means that fuel poor residents are unable to adequately warm their home and run the…

Machine Learning · Computer Science 2020-03-02 P. Fergus , C. Chalmers

In low-income settings, the most critical piece of information for electric utilities is the anticipated consumption of a customer. Electricity consumption assessment is difficult to do in settings where a significant fraction of households…

Computer Vision and Pattern Recognition · Computer Science 2021-12-17 Simone Fobi , Joel Mugyenyi , Nathaniel J. Williams , Vijay Modi , Jay Taneja

In many countries, central heating systems are widely used in multifamily housing allowing maintenance and costs to be shared. However, these systems often limit residents' control over their own consumption, complicating efforts to reduce…

Smart Home technology is increasingly seen as a solution for improving household energy efficiency. However, its energy-saving potential depends largely on how consumers use the system. To explore how user perception and intention to use…

Human-Computer Interaction · Computer Science 2025-10-07 Alona Zharova , Hee-Eun Lee

With increasing energy prices, low income households are known to forego or minimize the use of electricity to save on energy costs. If a household is on a prepaid electricity program, it can be automatically and immediately disconnected…

Systems and Control · Electrical Eng. & Systems 2024-08-28 Maitreyee Marathe , Line A. Roald

Despite many decades of research, economically grounded models that analyse energy consumption and energy-efficiency adoption within a unified framework remain underdeveloped. This article addresses this gap by proposing a model of…

General Economics · Economics 2026-05-01 Anthony Britto , Carlos Oliveira , Max Kleinebrahm

Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a business. Appliance-level data can be directly used for demand…

Machine Learning · Computer Science 2024-04-01 Anže Pirnat , Blaž Bertalanič , Gregor Cerar , Mihael Mohorčič , Carolina Fortuna

As an emerging emitter poised for significant growth in space cooling demand, India requires comprehensive insights into historical emission trends and decarbonization performance to shape future low-carbon cooling strategies. By…

General Economics · Economics 2025-04-01 Ran Yan , Nan Zhou , Minda Ma , Chao Mao

The housing structures have changed with urbanization and the growth due to the construction of high-rise buildings all around the world requires end-use appliance energy conservation and management in real-time. This shift also came along…

Signal Processing · Electrical Eng. & Systems 2021-04-16 Akriti Verma , Adnan Anwar , M. A. Parvez Mahmud , Mohiuddin Ahmed , Abbas Kouzani

This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by…

Physics and Society · Physics 2015-10-12 G. Tsagarakis , A. J. Collin , A. E. Kiprakis

Non-intrusive load monitoring (NILM) focuses on disaggregating total household power consumption into appliance-specific usage. Many advanced NILM methods are based on neural networks that typically require substantial amounts of labeled…

Machine Learning · Computer Science 2024-11-26 Dhruv Patel , Ankita Kumari Jain , Haikoo Khandor , Xhitij Choudhary , Nipun Batra

Poor energy efficiency of homes is a major problem with urgent environmental and social implications. Housing in the UK relies heavily on fossil fuels for energy supply and has some of the lowest energy efficiency in Europe. We explore…

Computers and Society · Computer Science 2023-02-21 Boyana Buyuklieva , Adam Dennett , Nick Bailey , Jeremy Morley

Non-intrusive load monitoring (NILM) has been extensively researched over the last decade. The objective of NILM is to identify the power consumption of individual appliances and to detect when particular devices are on or off from…

Machine Learning · Computer Science 2021-09-16 Jordan Holweger , Marina Dorokhova , Lionel Bloch , Christophe Ballif , Nicolas Wyrsch

In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation - a recommender system, which learns consumer's preferences from her…

Machine Learning · Computer Science 2017-02-01 Mikhail V. Goubko , Sergey O. Kuznetsov , Alexey A. Neznanov , Dmitry I. Ignatov
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