Next Article in Journal
Single Switched Capacitor Battery Balancing System Enhancements
Next Article in Special Issue
Short-Term Power Forecasting Model for Photovoltaic Plants Based on Historical Similarity
Previous Article in Journal / Special Issue
Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings
Article Menu

Export Article

Open AccessArticle
Energies 2013, 6(4), 2130-2148; doi:10.3390/en6042130

A New Two-Stage Approach to Short Term Electrical Load Forecasting

Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, Niš 18000, Serbia
School of Higher Technical Professional Education, Aleksandra Medvedevа 20, Niš 18000, Serbia
Author to whom correspondence should be addressed.
Received: 28 December 2012 / Revised: 11 March 2013 / Accepted: 1 April 2013 / Published: 18 April 2013
(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
View Full-Text   |   Download PDF [16348 KB, uploaded 17 March 2015]   |  


In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which make it difficult to model. To achieve better forecasting accuracy, a wide variety of models have been proposed. These models are based on different mathematical methods and offer different features. This paper presents a new two-stage approach for short-term electrical load forecasting based on least-squares support vector machines. With the aim of improving forecasting accuracy, one more feature was added to the model feature set, the next day average load demand. As this feature is unknown for one day ahead, in the first stage, forecasting of the next day average load demand is done and then used in the model in the second stage for next day hourly load forecasting. The effectiveness of the presented model is shown on the real data of the ISO New England electricity market. The obtained results confirm the validity advantage of the proposed approach. View Full-Text
Keywords: short-term load forecasting; least-squares support vector machines; average daily load; two-stage approach short-term load forecasting; least-squares support vector machines; average daily load; two-stage approach

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Božić, M.; Stojanović, M.; Stajić, Z.; Tasić, D. A New Two-Stage Approach to Short Term Electrical Load Forecasting. Energies 2013, 6, 2130-2148.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top