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{ "item_title" : "Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models", "item_author" : [" Enrique Alberto Kremers "], "item_description" : "Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/86/644/946/3866449461_b.jpg", "price_data" : { "retail_price" : "105.00", "online_price" : "105.00", "our_price" : "105.00", "club_price" : "105.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models|Enrique Alberto Kremers

Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models

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Overview

Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

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Details

  • ISBN-13: 9783866449466
  • ISBN-10: 3866449461
  • Publisher: Karlsruher Institut Fur Technologie
  • Publish Date: July 2014
  • Dimensions: 9.61 x 6.69 x 0.42 inches
  • Shipping Weight: 0.72 pounds
  • Page Count: 200

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