Kristoffer Fürst

Doctoral Student at Electric Power Engineering

Kristoffer Fürst is a Ph.D. student in the division of Electric Power Engineering, where the focus of his research is on citizen energy communities and smart meter data analysis. The project aims to contribute with digitalization technology to estimate peak and flexibility demand in the grid. The project is a cooperation with The Swedish Energy Agency and Energiforsk.

Source: chalmers.se
Image of Kristoffer Fürst

Showing 4 publications

2024

Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

Kristoffer Fürst, Peiyuan Chen, Irene Yu-Hua Gu
IEEE Transactions on Smart Grid. Vol. 15 (2), p. 2261-2270
Journal article
2023

Support vector machine for classification of households' heating type using load curves

Kristoffer Fürst, Peiyuan Chen, Irene Yu-Hua Gu
IET Conference Proceedings. Vol. 2023 (6), p. 3884-3888
Paper in proceeding
2022

Drivers and Barriers to Deploy Microgrid in Sweden

Oskar Nordlander Hurtig, Matilda Arvidsson, Max Hessman et al
IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2022-October
Paper in proceeding
2020

Improved Peak Load Estimation from Single and Multiple Consumer Categories

Kristoffer Fürst, Peiyuan Chen, Irene Yu-Hua Gu et al
IET Conference Publications. Vol. 2020 (CP767), p. 178-181
Paper in proceeding

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

Showing 2 research projects

2020–2024

Sammankopplade Medborgarenergigemenskaper Driven av Digitaliseringsteknologi

Peiyuan Chen Power grids and Components
Kristoffer Fürst Power grids and Components
Swedish Energy Agency

2019–2019

Machine-learning algorithms to categorize consumers

Peiyuan Chen Power grids and Components
Lang Tong Geology and Geotechnics
Irene Yu-Hua Gu Electrical Engineering
Kristoffer Fürst Power grids and Components
Chalmers

There might be more projects where Kristoffer Fürst participates, but you have to be logged in as a Chalmers employee to see them.