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Poster abstract: grid-level short-term load forecasting based on disaggregated smart meter data
Coroamă, Vlad C.
- Other Journal Item
The rollout of smart meters and steadily increasing sample rates lead to a growing amount of raw data available for short-term load forecasting (STLF). While the original motivation for high resolutions has been the enabling of non-intrusive load monitoring (NILM), so far their value for STLF has been limited. We propose a novel approach, which allows the exploitation of high resolution data for STLF, by incorporating NILM and subsequent clustering of similarly behaving appliances as a preprocessing step Show more
Journal / seriesComputer Science - Research and Development
SubjectSTLF, NILM, disaggregation, smart grid, clustering
Organisational unit03528 - Mattern, Friedemann
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