biggproject / biggr

R library of the BIGG AI toolbox

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

biggr's Issues

Not supporting custom value and localtime column in profiled detection method

biggr/R/preparation.R

Line 348 in 1a9f63a

detect_profiled_data <- function(data){

Expecting non-mandotory datetime features in profiled detection method input data

tz variable is not initialized in the method context

biggr/R/transformation.R

Line 375 in cacc2c4

mutate(time = lubridate::force_tz(time, tz))

Fixed in commit a1c4577
@gmor Review pending
Force tz to localTimeZone