Kristoffer Fürst
Showing 5 publications
Peak load estimation based on consumer heating type classification powered by deep learning
Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data
Support Vector Machine for Classification of Households' Heating Type using Load Curves
Drivers and Barriers to Deploy Microgrid in Sweden
Improved Peak Load Estimation from Single and Multiple Consumer Categories
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Showing 2 research projects
Sammankopplade Medborgarenergigemenskaper Driven av Digitaliseringsteknologi
Machine-learning algorithms to categorize consumers