Last edited by Maukus
Saturday, April 25, 2020 | History

2 edition of review of leading State efforts in energy data and modeling found in the catalog.

review of leading State efforts in energy data and modeling

Mathematica, Inc. Mathtech Division.

review of leading State efforts in energy data and modeling

final report to Illinois Division of Energy

by Mathematica, Inc. Mathtech Division.

  • 24 Want to read
  • 24 Currently reading

Published by Illinois Dept. of Business and Economic Development, Division of Energy in [Springfield] .
Written in English

    Places:
  • United States,
  • States,
  • Illinois.
    • Subjects:
    • Energy policy -- United States -- States -- Data processing.,
    • Energy policy -- United States -- States -- Information services.,
    • Energy policy -- Illinois.

    • Edition Notes

      Includes bibliographical references.

      Statementby Mathtech Division, Mathematica, inc.
      ContributionsIllinois. Division of Energy.
      Classifications
      LC ClassificationsHD9502.U52 M39 1976
      The Physical Object
      Pagination429 p. in various pagings :
      Number of Pages429
      ID Numbers
      Open LibraryOL4695671M
      LC Control Number77622494

      Model for Analysis of Energy Demand (MAED-2) INTERNATIONAL ATOMIC ENERGY AGENCY VIENNA Model for Analysis of Energy Demand (MAED-2) ccomputer series Noindd 1omputer series Noindd 1 Business Models for Distributed Energy Resources: A Review and Empirical Analysis An MIT Energy Initiative Working Paper April Scott P. Burger1* [email protected] 1MIT Energy Initiative and MIT Institute for Data, Systems and Society, Massachusetts Institute of Technology, USA MIT Energy Initiative, 77 Massachusetts Ave., Cambridge, MA The National Energy Modeling System (NEMS) is an economic and energy model of United States energy markets created at the U.S. Energy Information Administration (EIA). NEMS projects the production, consumption, conversion, import, export, and pricing of energy. The model relies on assumptions for economic variables, including world energy market interactions, resource availability .


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review of leading State efforts in energy data and modeling by Mathematica, Inc. Mathtech Division. Download PDF EPUB FB2

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