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
Erscheinungsort: New York
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.
DOI Link: 10.1145/3077839.3081681