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A short-term load forecasting method using fuzzy inference based on partial clustering has been proposed. In this forecasting system, local feature selection is first used to find the proper feature subset for regional load forecasting. Then, the typical regional load patterns are obtained by partial feature clustering. Lastly, independent regional load forecasting models are established by using...
Recognizing the value of an advanced metering infrastructure (AMI), utilities worldwide are deploying millions of smart meters. To better justify AMI investment, researchers have recognized the urgency to utilize the full potential of AMI to improve the quality of distribution management system (DMS) applications. However, the integration of AMI and DMS is a challenge as it entails different communication...
The objective of this study was to discuss the effects of spatial information on hydrologic simulation. WinVAST model was applied for hydrologic simulation. Synthetic watershed and scenario designs were discussed in this study. The result shows that both the accuracy of watershed delineation and the completeness of rainfall records can influence hydrologic simulations. Increase to delineation resolution...
According to the increasing requirements of goods transportation and distribution service in modern logistics, a system of key evaluation indicators is established for the optimization of truck load matching in distribution center, with taking the eight indicators of the system as the goals of the optimization. Aiming at the some lacks of a few common methods, an optimal selection model of truck load...
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