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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

In 2017 an estimated 3 billion people used polluting fuels and technologies as their primary cooking solution, with 3.8 million deaths annually attributed to household exposure to the resulting fine particulate matter air pollution.…

Energy-poor households often compromise their thermal comfort and refrain from operating mechanical cooling devices to avoid high electricity bills. This is compounded by certain behavioral practices like retention of older, less efficient…

Computers and Society · Computer Science 2025-04-25 Vallary Gupta , Ahana Sarkar , Chirag Deb , Arnab Jana

Proper nutrition is very important for the well-being and independence of elderly people. A significant loss of body weight or a decrease of the Body Mass Index respectively is an indicator for malnutrition. A continuous monitoring of the…

Computers and Society · Computer Science 2021-03-11 Björn Friedrich , Jürgen Bauer , Andreas Hein

The emergence of an ageing population is a significant public health concern. This has led to an increase in the number of people living with progressive neurodegenerative disorders like dementia. Consequently, the strain this is places on…

Computers and Society · Computer Science 2019-03-29 C. Chalmers , P. Fergus , C. Aday Curbelo Montanez , S. Sikdar , F. Ball , B. Kendall

Obesity is a risk factor for many health issues, including heart disease, diabetes, osteoarthritis, and certain cancers. One of the primary behavioral causes, dietary intake, has proven particularly challenging to measure and track. Current…

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

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…

This paper presents an integrating decision support system to model food security in the UK. In ever-larger dynamic systems, such as the food system, it is increasingly difficult for decision-makers to effectively account for all the…

Applications · Statistics 2020-04-16 Martine J. Barons , Thais C. O. Fonseca , Andy Davis , Jim Q. Smith

The smart meter data analysis contributes to better planning and operations for the power system. This study aims to identify the drivers of residential energy consumption patterns from the socioeconomic perspective based on the consumption…

Machine Learning · Computer Science 2021-11-03 Wenjun Tang , Hao Wang , Xian-Long Lee , Hong-Tzer Yang

Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating costs and reducing emissions. This objective is achievable by acting on fuel-related factors, such as the driving behaviour style. In this…

Artificial Intelligence · Computer Science 2021-07-23 Alberto Barbado , Óscar Corcho

With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how emissions are changing for all the sectors. Current official…

Heating of buildings represents a significant share of the energy consumption in Europe. Smart thermostats that capitalize on the data-driven analysis of heating patterns in order to optimize heat supply are a very promising part of…

Computers and Society · Computer Science 2025-04-15 Mona Bielig , Florian Kutzner , Sonja Klingert , Celina Kacperski

Reducing domestic energy demand is central to climate mitigation and fuel poverty strategies, yet the impact of energy efficiency interventions is highly heterogeneous. Using a causal machine learning model trained on nationally…

Machine Learning · Computer Science 2025-10-22 Bernardino D'Amico , Francesco Pomponi , Jay H. Arehart , Lina Khaddour

This paper assesses the effects of greenhouse gas emissions drivers in EU-27 over the period 2010-2019, using a Panel EGLS model with period fixed effects. In particular, we focused our research on studying the effects of GDP, renewable…

Econometrics · Economics 2022-05-03 I. Jianu , S. M. Jeloaica , M. D. Tudorache

The electrical generation and transmission infrastructures of many countries are under increased pressure. This partially reflects the move towards low carbon economies and the increased reliance on renewable power generation systems. There…

Physics and Society · Physics 2022-01-12 Corneliu Arsene

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

The wide adoption of smart meters makes residential load data available and thus improves the understanding of the energy consumption behavior. Many existing studies have focused on smart-meter data analysis, but the drivers of energy…

Machine Learning · Computer Science 2021-06-11 Zhuo Wei , Hao Wang

Researchers have been long preoccupied with the measuring and monitoring of economic and social deprivation at small scales, neighbourhood, level in order to provide official government agencies and policy makers with more precise data…

Physics and Society · Physics 2024-02-26 Eduardo Viegas , Tim S. Evans

Adoption of smart meters is a major milestone on the path of European transition to smart energy. The residential sector in France represents $\approx$35\% of electricity consumption with $\approx$40\% (INSEE) of households using electrical…

Signal Processing · Electrical Eng. & Systems 2020-11-12 François Culière , Laetitia Leduc , Alexander Belikov
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