Probabilistic Forecasting for Battery Management
Research Project , 2019 – 2021

The purpose of this research project led by RISE is to investigate the conditions for how household batteries should be sized and managed for best usage. The aim is to deepen the knowledge for local storage; how it shall be dispatched and what external services it can provide to the grid. Load profiles from single-family houses are clustered and a PV/battery system is then fitted for each cluster profile. Battery dispatch algorithm is based on artificial intelligence models (AI) for probabilistic prognostication of electrical loads and solar PV generation for optimal battery dispatch. The aim is also to demonstrate a battery dispatch algorithm based on an AI model at RISE’s Research Villa. This, to investigate how well the model can predict load and PV profiles and how well it can recover from wrongful predictions.

Participants

Torbjörn Thiringer (contact)

Chalmers, Electrical Engineering, Electric Power Engineering

Collaborations

Herrljunga Elektriska

Herrljunga, Sweden

RISE Research Institutes of Sweden

Göteborg, Sweden

TMF

Stockholm, Sweden

Uppsala University

Uppsala, Sweden

Funding

Swedish Energy Agency

Project ID: 47273-1
Funding Chalmers participation during 2019–2021

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

More information

Latest update

2021-12-28