Hybrid support vector regression in electric load during national holiday season

Rezzy Eko Caraka, Sakhinah Abu Bakar, Bens Pardamean, Arif Budiarto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper studies non-parametric time-series approach to electric load in national holiday seasons based on historical hourly data in state electric company of Indonesia consisting of historical data of the Northern Sumatera also South and Central Sumatra electricity load. Given a baseline for forecasting performance, we apply our hybrid models and computation platform with combining parameter of the kernel. To facilitate comparison to results of our analysis, we highlighted the results around MAPE-based and R2-based techniques. In order to get more accurate results, we need to improve, investigate, also develop the appropriate statistical tools. Electric load forecasting is a fundamental aspect of infrastructure development decisions and can reduce the energy usage of the nation.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Innovative and Creative Information Technology
Subtitle of host publicationComputational Intelligence and IoT, ICITech 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538640456
DOIs
Publication statusPublished - 16 Mar 2018
Event2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017 - Salatiga, Indonesia
Duration: 2 Nov 20174 Nov 2017

Other

Other2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017
CountryIndonesia
CitySalatiga
Period2/11/174/11/17

Fingerprint

Electric load forecasting
Electric loads
Support Vector Regression
Time series
Electricity
Historical Data
Load Forecasting
Industry
Hybrid Model
Forecasting
Baseline
Infrastructure
kernel
Energy
Holidays
Support vector regression

Keywords

  • electric load
  • Hybrid
  • Kernel
  • Support Vector Regression
  • Time Series

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Control and Optimization

Cite this

Caraka, R. E., Abu Bakar, S., Pardamean, B., & Budiarto, A. (2018). Hybrid support vector regression in electric load during national holiday season. In Proceedings - 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017 (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INNOCIT.2017.8319127

Hybrid support vector regression in electric load during national holiday season. / Caraka, Rezzy Eko; Abu Bakar, Sakhinah; Pardamean, Bens; Budiarto, Arif.

Proceedings - 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Caraka, RE, Abu Bakar, S, Pardamean, B & Budiarto, A 2018, Hybrid support vector regression in electric load during national holiday season. in Proceedings - 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017, Salatiga, Indonesia, 2/11/17. https://doi.org/10.1109/INNOCIT.2017.8319127
Caraka RE, Abu Bakar S, Pardamean B, Budiarto A. Hybrid support vector regression in electric load during national holiday season. In Proceedings - 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/INNOCIT.2017.8319127
Caraka, Rezzy Eko ; Abu Bakar, Sakhinah ; Pardamean, Bens ; Budiarto, Arif. / Hybrid support vector regression in electric load during national holiday season. Proceedings - 2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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