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Although many methods are available to forecast short-term electricity load based on small scale data sets, they may not be able to accommodate large data sets as electricity load data becomes bigger and more complex in recent years. In this paper, a novel machine learning model combining convolutional neural network with K-means clustering is proposed for short-term load forecasting with improved...
VF (Variable Frequency) based motor drive, which occupies a large proportion in total power load, is growing up rapidly these years. It shall affect the load model of power system greatly, for their characteristic is quite different from that of traditional asynchronous motor drive. Firstly, both the simulation and physical experiment on VF motor are carried out with voltage drop disturbs, and the...
As data become big and complex, it is also more challenging to data scientists to extract useful information in a timely fashion. Although many tools and packages are available to them, it is crucial to have a high productive and scalable big data analytics platform to carry out their daily work productively. The objective for our work is to build such a productive data analytics cloud platform by...
Semi-supervised learning and active learning are important techniques to build more accurate model while labeled data are scarce. The objective of this paper is combining both to effectively relieve user labor for multi-class annotation. We propose a novel graph-based active semi-supervised learning framework which aim at efficiently learning a multi-class model with minimal human labor. In particular,...
Semi-supervised learning methods can largely leverage the image annotation problem using both labeled and unlabeled data, especially when the labeled information is quite limited. However, most of them suffer the expensive computation stemming from the batch learning on large training dataset. In this paper we proposed a highly efficient semi-supervised annotation approach with the partial label propagation...
Unstructured database serves as a new database targeted mainly at unstructured data management, which addresses the limitations of relational database. In this paper, an unstructured database management system named Advanced Unstructured Data Repository (AUDR) is introduced. AUDR is designed to manage massive and various types of unstructured data including text, image, audio and video. Based on a...
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