Outlining Ensemble K-Nearest Neighbors Approach for Low-Voltage Power Demand Forecasting
| Autor: | Friederich Kupzog, Hartmut Schmeck, Oleg Valgaev |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Mathematical optimization business.industry 020209 energy Load forecasting 02 engineering and technology computer.software_genre k-nearest neighbors algorithm Renewable energy supply Electric power system Transformation (function) Work (electrical) Power demand 0202 electrical engineering electronic engineering information engineering Data mining business Low voltage computer |
| Zdroj: | e-Energy |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|