Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis

Published: Dec 1, 2016
Abstract
The paper presents an improvement of incremental adaptive power load forecasting methods by performing cluster analysis prior to forecasts. For clustering the centroid based method K-means, with K-means++ centroids initialization, was used. Ten various forecasting methods were compared in order to find the most suitable ones to combine with clustering. The used data set comes from Ireland, where half-hourly measurements of electricity...
Paper Details
Title
Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis
Published Date
Dec 1, 2016
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.