Hierarchical Demand Forecasting Benchmark for the Distribution Grid

10/03/2019
by   Lorenzo Nespoli, et al.
0

We present a comparative study of different probabilistic forecasting techniques on the task of predicting the electrical load of secondary substations and cabinets located in a low voltage distribution grid, as well as their aggregated power profile. The methods are evaluated using standard KPIs for deterministic and probabilistic forecasts. We also compare the ability of different hierarchical techniques in improving the bottom level forecasters' performances. Both the raw and cleaned datasets, including meteorological data, are made publicly available to provide a standard benchmark for evaluating forecasting algorithms for demand-side management applications.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset