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{ "item_title" : "Mathematical Modelling of Energy Systems and Fluid Machinery", "item_author" : [" Mirko Morini", "Michele Pinelli "], "item_description" : "The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/650/550/3036505504_b.jpg", "price_data" : { "retail_price" : "72.50", "online_price" : "72.50", "our_price" : "72.50", "club_price" : "72.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematical Modelling of Energy Systems and Fluid Machinery|Mirko Morini

Mathematical Modelling of Energy Systems and Fluid Machinery

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Overview

The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Details

  • ISBN-13: 9783036505503
  • ISBN-10: 3036505504
  • Publisher: Mdpi AG
  • Publish Date: June 2021
  • Dimensions: 9.61 x 6.69 x 0.81 inches
  • Shipping Weight: 1.66 pounds
  • Page Count: 256

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