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RETROFIT-LAT: A comprehensive dataset for energy efficiency investments in Latvia
Αlexandros Menelaos Tzortzis1, Panagiota Rempi1, Sotiris Pelekis1
1Decision Support Systems Lab, National Technical University of Athens, Zografou, Attica, Greece.
Abstract:
This article presents RETROFIT-LAT: a collection of data from 1010 residential building projects, funded by the Republic of Latvia's Environmental Investment Fund (LEIF). The first dataset analyses the energy performance and sustainability of buildings before and after retrofitting actions, including their energy consumption, CO 2 emissions, and energy classes. It spans projects implemented from 1870 to 2022, covering various building types and regions, with data on their energy use, heat loss coefficients, and both renewable and non-renewable energy contributions. The second dataset focuses on photovoltaic (solar panel) installations as part of energy efficiency measures. It documents electricity consumption, primary energy use before and after installation, inverter power, and reductions in CO 2 emissions. By making this data available in a structured and analyzable format, RETROFIT-LAT aims to support the development of data-driven assessments, including machine learning models for forecasting retrofit outcomes. It is intended to assist researchers, engineers, and policymakers in evaluating and designing effective energy efficiency strategies for residential buildings.
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