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The European project BIGG, funded under the H2020 programme, has been launched in December 2020.

Despite the increase in the use of energy and the evident environmental benefits of having more share of renewable energy sources (RES) in buildings, the adoption of both energy efficiency measures and RES is highly influenced by its cost and the impact on occupants’ comfort. The real implementation of actions to reduce energy consumption in buildings is confronted with the complexity of managing their internal energy systems, the overall target of cost savings and the respect of the levels of comfort expected by the buildings occupants.

The BIGG project aims at demonstrating the application of big data technologies and data analytic techniques for the complete buildings life-cycle of more than 4000 buildings in 6 large-scale pilot test-beds.

Get started by reading the AI Toolbox 1st deliverable : https://www.bigg-project.eu/wp-content/uploads/2022/09/BIGG_D5.1.pdf

BIGG project's Projects

a1-benchmarking icon a1-benchmarking

Energy benchmarking of buildings. This is an example of a pipeline based on BIGG-harmonised data that uses biggr to generate its results.

a2-eem-assessment icon a2-eem-assessment

Energy Efficiency Measures assessment. This is an example of a pipeline based on BIGG-harmonised data that uses biggr to generate its results.

biggdocs icon biggdocs

Language-agnostic documentation of the AI toolbox of the BIGG project

biggpy icon biggpy

Python library of the BIGG AI toolbox

biggr icon biggr

R library of the BIGG AI toolbox

ontology icon ontology

This repository contains the ontology for the bigg project

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