Accepted Manuscript Empirical Mode Decomposition Based Denoising Method with Support Vector Regression for Time Series Prediction: A Case Study for Electricity Load Fore- casting Yusuf Yaslan, Bahadır Bican PII: S0263-2241(17)30094-5 DOI: http://dx.doi.org/10.1016/j.measurement.2017.02.007 Reference: MEASUR 4592 To appear in: Measurement Received Date: 24 July 2016 Revised Date: 4 January 2017 Accepted Date: 6 February 2017 Please cite this article as: Y. Yaslan, B. Bican, Empirical Mode Decomposition Based Denoising Method with Support Vector Regression for Time Series Prediction: A Case Study for Electricity Load Forecasting, Measurement (2017), doi: http://dx.doi.org/10.1016/j.measurement.2017.02.007 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.