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Towards an Approach for Fuel Poverty Detection from Gas Smart Meter Data using Decision Tree Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.enbuild.2007.02.008openalex-snapshot

Recent progress on passive cooling techniques

inferredcites →https://doi.org/10.1109/tste.2018.2861821openalex-snapshot

Flow-Based Estimation and Comparative Study of Gas Demand Profile for Residential Units in Singapore

inferredcites →https://doi.org/10.3390/en12091680openalex-snapshot

Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods

inferredcites →https://doi.org/10.3390/en13082115openalex-snapshot

Future Design Approaches for Energy Poverty: Users Profiling and Services for No-Vulnerable Condition

inferredcites →https://doi.org/10.3390/make1030056openalex-snapshot

More Buildings Make More Generalizable Models—Benchmarking Prediction Methods on Open Electrical Meter Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4850736openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-031-21333-5_69openalex-snapshot

Linguistic Summaries for Dwellings Energy Poverty Monitoring

inferred← citeshttps://doi.org/10.1007/978-3-031-53433-1_3openalex-snapshot

The Role of the Artificial Intelligence of Things in Energy Poverty Alleviation

inferred← citeshttps://doi.org/10.1016/j.enbuild.2022.112233openalex-snapshot

Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review

inferred← citeshttps://doi.org/10.1016/j.srs.2025.100200openalex-snapshot

Exploring machine learning trends in poverty mapping: A review and meta-analysis

inferred← citeshttps://doi.org/10.1155/2024/9411326openalex-snapshot

Predictive Modeling of Energy Poverty with Machine Learning Ensembles: Strategic Insights from Socioeconomic Determinants for Effective Policy Implementation

inferred← citeshttps://doi.org/10.26794/2587-5671-2020-25-5-186-199openalex-snapshot

Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients

inferred← citeshttps://doi.org/10.3390/en14216934openalex-snapshot

The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain

inferred← citeshttps://doi.org/10.3390/en17020326openalex-snapshot

IoT-Based Indoor Thermal Environment and Occupancy Monitoring for Energy Poverty Care

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