Intelligent Energy-Saving Decision Making and Delicacy Management for Power Enterprises

Yong Zhang; Ning Ling Wang

doi:10.4028/www.scientific.net/AMM.631-632.1282

Paper Titles

Predicting the Shelf-Life of Single Base Propellants
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Analysis of Factors Affecting the Attractivness between Shipping Center and its Hinterland
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Construction of the Whole Process System of Intellectual Property Management in Scientific Research Project Based on the Policy Deconstruction and Reconstruction
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Intelligent Energy-Saving Decision Making and Delicacy Management for Power Enterprises
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Smart Sustainable Development Approach and its Implementation in Engineering Organizations
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The Application of Information Technology in Bank Accounting Internal Control Risk
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A Constraint-Based Approach for Skilled Workforce Scheduling Problem
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632Intelligent Energy-Saving Decision Making and...

Intelligent Energy-Saving Decision Making and Delicacy Management for Power Enterprises

Abstract:

Energy-saving management is playing increasingly important parts in the energy conservation of thermal power generation. The economic performance indexes were decomposed and clarified to set a delicacy energy-saving management system. With the great volume of operation data, an fuzzy rough set (FRS) –based big data analytics were introduced to build the intelligent energy-saving decision-making model. Based on such energy-saving management system, the operation optimization practice was performed on a 600MW thermal power unit to determine the optimum working state under specific operation conditions. The result shows that the proposed energy-saving management can makes great guidelines for the operation optimization and energy-saving diagnosis of thermal power units.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

1282-1286

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.1282

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Online since:

September 2014

Authors:

Yong Zhang, Ning Ling Wang

Keywords:

Big Data, Decision-Making, Delicacy Management, Energy-Saving, Thermal Power Units

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