Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hybrid short term load forecasting using ARIMA-SVM Subject The topic of the resource Autoregressive Integrated Moving Average (ARIMA); Mean Absolute Percentage Error (MAPE); Outliers; Percentage Error (PE); Short Term Load Forecasting (STLF); Support Vector Machines (SVM) Description An account of the resource In order to perform a stable and reliable operation of the power system network, short term load forecasting is vital. High forecasting accuracy and speed are the two most important requirements of short-term load forecasting. It is important to analyze the load characteristics and to identify the main factors affecting the load. ARIMA method is most commonly used, as it predict the load purely based on the historical loads and no other assumptions are considered. Therefore there is a need for Outlier detection and correction method as the prediction is based on historical data, the historical data may contain some abnormal or missing values called outliers. Also the load demand is influenced by several other external factors such as temperature, day of the week etc., the Artificial Intelligence techniques will incorporate these external factors which improves the accuracy further. In this paper a hybrid model ARIMA-SVM is used to predict the hourly demand. ARIMA is used to predict the demand after correcting the outliers using Percentage Error (PE) method and its deviation is corrected using SVM. Main objective of this method is to reduce the Mean Absolute percentage Error (MAPE) by introducing a hybrid method employing with outlier detection technique. The historical load data of 2014-2015 from a utility system of southern region is taken for the study. It is observed that the MAPE error got reduced and its convergence speed increased. 2017 IEEE. Creator An entity primarily responsible for making the resource Karthika S.; Margaret V.; Balaraman K. Source A related resource from which the described resource is derived 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017, Vol-2017-January, pp. 1-7. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IPACT.2017.8245060" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IPACT.2017.8245060</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045948276&amp;doi=10.1109%2FIPACT.2017.8245060&amp;partnerID=40&amp;md5=c83ecea07cf835108c5811faf7e4756e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045948276&amp;doi=10.1109%2fIPACT.2017.8245060&amp;partnerID=40&amp;md5=c83ecea07cf835108c5811faf7e4756e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150905682-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karthika S., Department of Electrical and Electronics Engineering, Christ University, Faculty of Engineering, Bangalore, India; Margaret V., Department of Electrical and Electronics Engineering, Christ University, Faculty of Engineering, Bangalore, India; Balaraman K., Power Research and Development Consultants Pvt. Ltd, Bengaluru, India