TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Improved modelling of electric loads for enabling demand response by applying physical and data-driven models: Project Response

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2018 IEEE International Energy Conference, ENERGYCON 2018
KustantajaIEEE
Sivut1-6
Sivumäärä6
ISBN (elektroninen)9781538636695
DOI - pysyväislinkit
TilaJulkaistu - 27 kesäkuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Energy Conference - Limassol, Kypros
Kesto: 3 kesäkuuta 20187 kesäkuuta 2018

Conference

ConferenceIEEE International Energy Conference
MaaKypros
KaupunkiLimassol
Ajanjakso3/06/187/06/18

Tiivistelmä

Accurate load and response forecasts are a critical enabler for high demand response penetrations and optimization of responses and market actions. Project RESPONSE studies and develops methods to improve the forecasts. Its objectives are to improve 1) load and response forecast and optimization models based on both data-driven and physical modelling, and their hybrid models, 2) utilization of various data sources such as smart metering data, weather data, measurements from substations etc., and 3) performance criteria of load forecasting. The project applies, develops, compares, and integrates various modelling approaches including partly physical models, machine learning, modern load profiling, autoregressive models, and Kalman-filtering. It also applies non-linear constrained optimization to load responses. This paper gives an overview of the project and the results achieved so far.

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