Consumption

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3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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Questionnaire-Guided Disaggregation of Energy Appliance Use for Domestic Smart Meter Data
Oct 1, 2026Achal Nanjundamurthy, Rupam Misra, Suzanne Little +1Energy Consumption Smart Homes
School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland
Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise
Sep 24, 2026Arian Abbasi, Alan Aqrawi, Ted KwartlerAgent Harness Coding Agents
Accenture Responsible AI · Accenture Americas Advanced AI Practice · Harvard Extension School, Harvard University
Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors
Sep 16, 2026Peixuan Hou, Bin Chen, Li He +4Consumption Value
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · Alibaba Group
Calendar-Structured Sparse Principal Component Analysis for Interpretable Multi-Periodic Electricity Consumption Profiles
Sep 5, 2026Carlos Quesada-Granja, Tony Castillo-Calzadilla, Carlos Rizo-MaestrePrincipal Component Analysis Periodic
Dept. of Computer Science and Artificial Intelligence, University of Alicante. Ctra. de San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Alicante, Spain. · Dept. of Industrial Engineering, University of La Laguna. Camino San Francisco de Paula s/n, 38200 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain. · Dept. of Architectural Constructions, University of Alicante. Ctra. de San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Alicante, Spain.
Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation
Aug 28, 2026Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt +5Consumption Survival Analysis
Walmart Global Tech · Bellevue, WA, USA · Sunnyvale, CA, USA
SoK: From Generation to Consumption of Privacy Documents in Software Systems
Aug 12, 2026Shidong Pan, Clark LaChance, Zhen Tao +1Privacy Documentation
New York University, USA · University of Maine, USA · Technical University of Munich, Germany
Learning Long-Term Educational Investment Policies under Residential Sorting
Aug 7, 2026Honglei Guo, Shuo Chen, Mingjie Bi +3Real Estate Data Consumption
College of Artificial Intelligence, Zhejiang University · State Key Laboratory of General Artificial Intelligence, BIGAI
Improving Item Discoverability in e-Commerce Search via Related Intent Generation
Jul 29, 2026Ji Xin, Xiao Xiao, Ishan Bhatt +6Discovery Consumption
Instacart Toronto, Canada · Instacart San Diego, USA · Instacart San Francisco, USA +1
A Persona-based Rate Action Index
Jul 29, 2026Hayden Helm, Andrew DassoriConsumption Data-Driven Forecasting
Helivan · Wavelength Capital
Large Behavior Model: A Promptable Digital Twin of the Retail Customer
Jul 8, 2026Wachiravit Modecrua, Krittin Pachtrachai, Touchapon KraisingkornBehavioral Foundation Models Large Language Model Reinforcement Learning
Amity Research and Application Center (ARAC), Amity AI Holdings Co., Ltd.
Understanding electricity consumption behaviour through Inverse Reinforcement Learning
Jul 3, 2026Enrico Cofler, Carlos Rodriguez-Pardo, Matteo Giuliani +2Demand Response Consumption
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio 34/5, 20133 Milano, Italy · RFF-CMCC European Institute on Economics and the Environment, Via Solari, 11, 20144 Milano, Italy · Centro Euro-Mediterraneo sui Cambiamenti Climatici, Via Solari, 11, 20144 Milano, Italy +2
Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
Jun 29, 2026Yixu Huang, Yunlu Yin, Jiayu Lin +6Scaling Improve Social Simulation Consumption
Fudan University. · Shanghai Innovation Institute. · The Chinese University of Hong Kong.
LLM Consumer Behavior Theory: Foundations of a Novel Research Field
Jun 16, 2026Manon Reusens, Sofie Goethals, David MartensConsumption Large Language Model Decisions
Department of Engineering Management, University of Antwerp
LLM-Powered Virtual Population for Demand Simulation and Pricing
Jun 15, 2026Chengpiao Huang, Kaizheng WangUser Simulation Consumption
Department of Industrial Engineering and Operations Research, Columbia University. · Department of Industrial Engineering and Operations Research and Data Science Institute, Columbia University.
Beyond Averages: Evaluating LLMs on Human Survey Replication at the Distributional Level
Jun 8, 2026Jeonghyeon Moon, Jiwon Kim, Yeheum Lah +2Survey Large Language Model Responses
Ewha Womans University
Trading Engagement for Sustainability: Carbon-Aware Re-ranking for E-commerce Recommendations
Jun 3, 2026Noah Lund Syrdal, Anders Vestrum, Jorgen BerghCarbon Emissions Sustainability
University of California, Berkeley
The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol
Jun 2, 2026Jai Lal Lulla, Matthias Galster, Jie M. Zhang +2Coding Agents Consumption
Singapore Management University, Singapore · University of Bamberg, Germany · King’s College London, United Kingdom +1
Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling
Jun 1, 2026Vladimir BeskorovainyiConsumption Human Annotators
Besk Tech · Moscow Institute of Physics and Technology (MIPT)
Measuring Poverty and Inequality with Reduced Data: A Machine Learning Approach Using Nigerian Household Data
May 29, 2026Vanesa Jordá, Miguel Niño-ZarazúaConsumption Economies
Department of Economics, Cantabria University · Department of Economics, SOAS University of London · United Nations University World Institute for Development Economics Research (UNU-WIDER)
Utility-Aware Multimodal Contrastive Learning for Product Image Generation
May 27, 2026Xiaohang Feng, Yiling XieMulti-Reference Image Generation Multimodal Contrastive Learning
City University of Hong Kong
Boundedly Rational Meta-Learning in Sequential Consumer Choice
May 15, 2026Mehrzad Khosravi, Max Kleiman-Weiner, Hema YoganarasimhanMeta-Learning Consumption
University of Washington
Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
May 5, 2026Yuan-Chi Li, Li-Chi Chen, Sung-Yi Wu +2User Simulation Conversational Artificial Intelligence
Department of Computer Science and Information Engineering National Taiwan University
Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia
Apr 30, 2026Wei Zhou, Rashina Hoda, Joycelyn LingHealthcare Multi-Model Study
1*Faculty of Information Technology, Monash University, Wellington Rd, Clayton, 3800, VIC, Australia. · 2Digital Health CRC, George Street, Sydney, 2000, NSW, Australia.
From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference
Apr 23, 2026Liu hung mingNatural Language Inference Consumption
PARRAWA AI
From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning
Apr 17, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1Artificial Intelligence Safety Human-Ai Interaction
Faculty of Medicine, Lund University, Sweden · Department of Economics, Lund University School of Economics and Management, Sweden · Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, UK
CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data
Jan 15, 2026Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2Demand Response Consumption
Reinforcement Learning and Consumption-Savings Behavior
Oct 23, 2025Brandon Gary KaplowitzConsumption Agent Behavior Modeling
New York University
Learning Consumer Preferences from Bundle Sales Data
Sep 11, 2022Ningyuan Chen, Setareh Farajollahzadeh, Qingwei Jin +2Discrete Choice Models Consumption
University of Toronto · McGill University · Zhejiang University
Your Agent Says Yes: Interpreting Adversarial Market Behavior Beyond Individual Transactions
Date pendingZelin Li, Yiyun Su, Matt White +3Strategic Agents Transaction Evidence
The Ohio State University · Rutgers University · University of California, Berkeley +3

Oct 1, 2026, cs.AIJ/K move · Enter open · S save

Questionnaire-Guided Disaggregation of Energy Appliance Use for Domestic Smart Meter Data

Achal Nanjundamurthy, Rupam Misra, Suzanne Little, Alan F. Smeaton

School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland

Energy Consumption Smart Homes Consumption

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Ireland's smart metering programme records electricity use at 30-minute resolution, with smart meters installed in over 80% of households as of late 2025. While this is useful for billing of smart, time-of-use tariffs, it is too coarse to capture use of domestic appliances. We present a label-free disaggregation system that breaks usage data into 9 appliance categories by combining event detection for high-power loads with questionnaire-guided estimation. Our evaluation draws on four datasets: a calibration household with a commercial comparator, two public benchmarks (UK-DALE and REFIT) with per-appliance sub-metering, and a smart meter dataset of more than 4,800 years of use from 2,968 Irish consumers. Compared against two independently developed disaggregation systems our hybrid method combining analysis of usage data with questionnaire results, achieves the lowest whole-decomposition error on all buildings across the datasets, with better month-level performance over 54 paired months (

p<0.001

, Holm-corrected). Our method provides useful advice on a household's energy consumption patterns and advice on how to reduce or shift usage on some appliances in order to reduce costs.

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Latest papers 29