“21st PSCC 2020 papers submission and review platform

Full Program »

Hierarchical Demand Forecasting Benchmark for the Distribution Grid

View File
PDF
0.8MB

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.

Author(s):

Lorenzo Nespoli    
SUPSI
Switzerland

Vasco Medici    
SUPSI
Switzerland

Kristijan Lopatichki    
EPFL
Switzerland

Fabrizio Sossan    
MINES ParisTech
France

 

Powered by OpenConf®
Copyright ©2002-2014 Zakon Group LLC