Dynamic Time Warping and FFT: A Data Preprocessing Method for Electrical Load Forecasting
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
For power suppliers, an important task is to accurately predict the short-term load. Thus many papers have introduced different kinds of artificial intelligent models to improve the prediction accuracy. In recent years, Random Forest Regression (RFR) and Support Vector Machine (SVM) are widely used for this purpose. However, they can not perform well when the sample data set is too noisy or with too few pattern feature. It is usually difficult to tell whether a regression algorithm can accurately predict the future load from the historical data set before trials. Here we demonstrate a method which estimates the similarity between time series by Dynamic Time Warping (DTW) combined with Fast Fourier Transform (FFT). Results show this is a simple and fast method to filter the raw large electrical load data set and improve the learning result before looping through all learning processes.
Authors and Affiliations
Juan Huo
Keywords
Related Articles
- EP ID EP269279
- DOI 10.14569/IJACSA.2018.090201
- Views 157
- Downloads 0
An approach for Teaching of National Languages and Cultures through ICT in Cameroon
This article describes the input of ICT to the modernization of teaching national languages and cultures in order to promote cultural diversity as well as dissemination of scientific knowledge through national languages....
Multicast Routing with Load Balancing in Multi-Channel Multi-Radio Wireless Mesh Networks
By an increasing expansion of multimedia services and group communication applications, the need for multicast routing to respond to multicast requests in wireless mesh networks is felt more than before. One of the main...
Multi-Objective Intelligent Manufacturing System for Multi Machine Scheduling
This paper proposes a framework for Intelligent Manufacturing systems in which the machine scheduling is achieved by MCDM and DRSA. The relationship between perception/knowledge base and profit maximization is being exte...
Information System Quality: Managers Perspective
To evaluate Information System Quality (ISQ) quantitatively, a model was constructed based on sub-models related to the five Information System (IS) components, namely, Human Resources, Hardware, Software and application...
Experimental Study of Spatial Cognition Capability Enhancement with Building Block Learning Contents for Disabled Children
In this research, we develop learning teaching materials using building blocks for children with disabilities, and verify learning effect. It is important to prepare input equipment according to children with disabilitie...