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{ "item_title" : "Energy Data Analytics for Smart Meter Data", "item_author" : [" Andreas Reinhardt", "Lucas Pereira "], "item_description" : "The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike.This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system.This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universit t Clausthal, Germany, and Lucas Pereira, research fellow at T cnico Lisboa, Portugal.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/652/016/3036520163_b.jpg", "price_data" : { "retail_price" : "81.00", "online_price" : "81.00", "our_price" : "81.00", "club_price" : "81.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Energy Data Analytics for Smart Meter Data|Andreas Reinhardt

Energy Data Analytics for Smart Meter Data

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Overview

The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike.

This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system.

This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universit t Clausthal, Germany, and Lucas Pereira, research fellow at T cnico Lisboa, Portugal.

Details

  • ISBN-13: 9783036520162
  • ISBN-10: 3036520163
  • Publisher: Mdpi AG
  • Publish Date: September 2021
  • Dimensions: 9.61 x 6.69 x 1.06 inches
  • Shipping Weight: 2.08 pounds
  • Page Count: 346

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