Microgrid Energy Management Benchmark
Microgrid consumption and production data with associated historical forecast
Published by
Schneider Electric
Microgrid Energy Management Benchmark
Published by
Schneider Electric
Free
Overview
Microgrid Energy Management Benchmark
Microgrids will play a key role in the future energy landscape and their economic operation is a crucial technical challenge. This dataset includes some years of historical building consumption and solar panel production data, together with the associated historical forecasts generated by Schneider Electric’s Analytics & AI Forecasting component.
This dataset allows to test battery energy management strategies on buildings equipped with solar panels. It also offers a rich pool of realistic microgrid configurations that can be used for;
Calibrating load and photovoltaic forecast models
Microgrid control algorithms
Optimal battery sizing
Other quantitative tasks relative to microgrid simulation
An example of benchmark, based on this dataset, can be found in github.
Microgrid Energy Management Benchmark
Microgrids will play a key role in the future energy landscape and their economic operation is a crucial technical challenge. This dataset includes some years of historical building consumption and solar panel production data, together with the associated historical forecasts generated by Schneider Electric’s Analytics & AI Forecasting component.
This dataset allows to test battery energy management strategies on buildings equipped with solar panels. It also offers a rich pool of realistic microgrid configurations that can be used for;
Calibrating load and photovoltaic forecast models
Microgrid control algorithms
Optimal battery sizing
Other quantitative tasks relative to microgrid simulation
An example of benchmark, based on this dataset, can be found in github.