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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset
Data sources: ZENODO
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Behavioral, Information, and Monetary Interventions to Reduce Energy Consumption in Households: A Living Systematic Review and Network Meta‐Analysis

Authors: Khan, Sarah;

Behavioral, Information, and Monetary Interventions to Reduce Energy Consumption in Households: A Living Systematic Review and Network Meta‐Analysis

Abstract

General Description This record contains the data and supporting materials for the Living Systematic Review (LSR) and Network Meta-Analysis (NMA) titled "Behavioral, Information, and Monetary Interventions to Reduce Energy Consumption in Households.". As climate targets require urgent demand-side action, this project provides a rigorous, up-to-date synthesis of how different policy interventions, such as nudges, financial rewards, and feedback can impact residential energy use. The dataset harmonizes evidence from over 213 relevant studies spanning 40 countries and involving more than 6.5 million households. By employing machine learning (ML) for literature screening and an NMA to compare intervention packages, this review offers a "solution-oriented" map for policymakers to understand what works, to what extent, and in what combination.

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