fvs-energy/prob_forecasting

This repository contains code and data for probabilistic forecasting of electricity loads.

Probabilistic Forecasting of Household Loads

This repository was prepared and used for the article "Frederik vom Scheidt, Xinyuan Dong, Andrea Bartos, Philipp Staudt, and Christof Weinhardt. 2021. Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality". It contains the code and input data for the article's forecasting case study. Comments and questions are highly welcome.

Contributors:

• Frederik vom Scheidt [email protected]
• Andrea Bartos [email protected]

Attribution should be given as follows: Frederik vom Scheidt, Xinyuan Dong, Andrea Bartos, Philipp Staudt, and Christof Weinhardt. 2021. Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality. In The Twelfth ACM International Conference on Future Energy Systems (e-Energy ’21), June 28-July 2, 2021, Virtual Event, Italy. https://doi.org/10.1145/3447555.3464861