Buildings & Civil Engineering Works

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Buildings & Civil Engineering Works

December 1, 2020
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Covid update

December 1, 2020
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Developing New International Standards for Biotechnology – an Irish Perspective

December 1, 2020
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Electrical Safety Definitions

December 1, 2020
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Observatories

December 1, 2020
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The 35 Best College Astronomy Observatories

 

S. 2863 / E Visa Integrity Act of 2019

December 1, 2020
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Hybrid support vector regression in electric load during national holiday season

November 26, 2020
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Hybrid Support Vector Regression in Electric Load During National Holiday Season

Rezzy Eko Caraka – Sakhinah Abu Bakar
National University of Malaysia
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Bens Pardamean – Arif Budiarto
Bina Nusantara University

 
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 R 2 -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.

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