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Outlining Ensemble K-Nearest Neighbors Approach for Low-Voltage Power Demand Forecasting


Outlining Ensemble K-Nearest Neighbors Approach for Low-Voltage Power Demand Forecasting



Published: 2017 Mai

Buchtitel: e-Energy '17 Proceedings of the Eighth International Conference on Future Energy Systems
Seiten: 268-270
Verlag: ACM
Erscheinungsort: New York
Organisation: ACM

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BibTeX

Kurzfassung
Following the ongoing transformation of the European power system, in the future, it will be necessary to locally balance the increasing share of decentralized renewable energy supply. Therefore, a reliable short-term load forecast down to the level of single low-voltage end-consumers might be required. In this work, we outline how to improve the K-Nearest Neighbors forecaster that we have proposed earlier for the low voltage load forecasting. We motivate the usage of the, so called, Ensemble K-Nearest Neighbors indicating a significant improvement by combining the forecasts obtained using different numbers of nearest neighbors.

ISBN: 978-1-4503-5036-5
DOI Link: 10.1145/3077839.3081681



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Energieinformatik