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Power companies rely on accurate electricity load forecasting to minimize financial risk and optimize operational efficiency and reliability. Critical load forecasting tasks include: Automating data access from regional wholesale electricity markets Customizing models using nonlinear regression, nonparametric, and neural network techniques Calibrating models with historical predictors such as weather, seasonality, load, fuel price, and power price Deploying and integrating load forecasting algorithms into enterprise systems ....etc [:=Read Full Message Here=:]

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ABSTRACT The incremental growth of the Internet for communications within and between companies has raised an important issue of where and how to store all the information being generated and to ensure it is safe and secure in the event of system crashes and other crises. As a result the need for an optimized storage solution becomes essential. Network Attached Storage (NAS) is becoming a critical technology in this environment. The benefit of NAS over the older technologies is that it separates servers and storage, resulti ....etc [:=Read Full Message Here=:]


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Definition Information Technology (IT) departments are looking for cost-effective storage solutions that can offer performance, scalability, and reliability. As users on the network increase and the amounts of data generated multiply, the need for an optimized storage solution becomes essential. Network Attached Storage (NAS) is becoming a critical technology in this environment. The benefit of NAS over the older Direct Attached Storage (DAS) technology is that it separates servers and storage, resulting in reduced costs and easier implemen ....etc [:=Read Full Message Here=:]
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Abstract: This project provides the experience of applying an advanced version of Spurious Power Suppression Technique (SPST) on multipliers for high speed and low power purposes. When a portion of data does not affect the final computing results, the data controlling circuits of SPST latch this portion to avoid useless data transition occurring inside the arithmetic units, so that the useless spurious signals of arithmetic units are filter out. Modified Booth Algorithm is used in this project for mul ....etc [:=Read Full Message Here=:]
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Abstract We investigate practical selection of meta-parameters for SVM regression (that is, -insensitive zone and regularization parameter C). The proposed methodology advocates analytic parameter selection directly from the training data, rather than resampling approaches commonly used in SVM applications. Good generalization performance of the proposed parameter selection is demonstrated empirically using several low-dimensional and high-dimensional regression problems. Further, we point out the importance of Vapnik s -insens ....etc [:=Read Full Message Here=:]


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