[HTML][HTML] ForecastExplainer: Explainable household energy demand forecasting by approximating shapley values using DeepLIFT

M Shajalal, A Boden, G Stevens - Technological Forecasting and Social …, 2024 - Elsevier
The rapid progress in sensor technology has empowered smart home systems to efficiently
monitor and control household appliances. AI-enabled smart home systems can forecast …

Micro-climatic variations and their impact on domestic energy consumption–Systematic literature review

AM Nowak, S Snow, N Horrocks, M Glencross - Energy and Buildings, 2022 - Elsevier
The earth's climate differs enormously across its breadth with numerous small-scale
variations to surrounding atmospheric conditions (micro-climates) existing side by side …

Energy housekeeping: intersections of gender, domestic labour and technologies

R Martin - Buildings and Cities, 2022 - research.monash.edu
Emerging energy technologies and tools aim to enhance peoples' understanding and
control over household energy. Yet, important questions are emerging about precisely …

Exploring the flexibility of everyday practices for shifting energy consumption through clockcast

MK Rasmussen, MK Rasmussen, N Verdezoto… - Proceedings of the 29th …, 2017 - dl.acm.org
Encouraging sustainable living by raising awareness of resource consumption has long
been a topic within HCI. However, getting people to change behavior when it comes to …

Household Wattch: Exploring opportunities for surveillance and consent through families' household energy use data

S Snow, AH Khan, K Day, B Matthews - ACM Transactions on Computer …, 2024 - dl.acm.org
Household energy use data may contain sensitive inferences into family life, yet its potential
for surveillance is imperfectly understood. To explore this space, we developed Household …

When an eco-feedback system joins the family

S Snow, D Vyas, M Brereton - Personal and Ubiquitous Computing, 2015 - Springer
The dynamic, chaotic, intimate and social nature of family life presents many challenges
when designing interactive systems in the household space. This paper presents findings …

Examining the energy literacy of tourism peasant households in rural tourism destinations

J Zhang, Y Zhang - Asia Pacific Journal of Tourism Research, 2020 - Taylor & Francis
Through questionnaires and interviews, we investigated the energy literacy characteristics of
tourism peasant households in rural tourism destinations and distinguished the predictors of …

Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach

S Zamani, H Talebi, G Stevens - arXiv preprint arXiv:2302.14781, 2023 - arxiv.org
Fixing energy leakage caused by different anomalies can result in significant energy savings
and extended appliance life. Further, it assists grid operators in scheduling their resources to …

Design of an appliance level eco-feedback display for domestic electricity consumption

J Paay, J Kjeldskov, MB Skov, D Lund… - Proceedings of the 26th …, 2014 - dl.acm.org
Over the past decade there has been an increased focus on eco-feedback systems for
electricity consumption due to emerging technologies that allow detailed and real-time …

Élargissement et renouvellement des questions traitées par l'ergonomie dans le domaine du développement durable: retour sur 12 ans de travaux sur les activités …

M Fréjus - Psychologie française, 2019 - Elsevier
Résumé Ce papier vise à retracer comment l'intégration d'une question de société telle que
le «développement durable» a orienté l'évolution de nos travaux en ergonomie. Ce sujet a …