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A statistical model for energy intensity

  • Farmingdale State College

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A promising approach to improve scientific literacy in regards to global warming and climate change is using a simulation as part of a science education course. The simulation needs to employ scientific analysis of actual data from internationally accepted and reputable databases to demonstrate the reality of the current climate change situation. One of the most important criteria for using a simulation in a science education course is the fidelity of the model. The realism of the events and consequences modeled in the simulation is significant as well. Therefore, all underlying equations and algorithms used in the simulation must have real-world scientific basis. The "Energy Choices" simulation is one such simulation. The focus of this paper is the development of a mathmatical model for "Energy Choices" simulation. This model will define the "Energy Intensity" as a function of other independent variables that can be manipulated by users of the simulation. The relationship discovered by this research will be applied to an algorithm in the "Energy Choices" simulation.

Original languageEnglish
Title of host publicationIMCIC 2011 - 2nd International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings
EditorsMichael J. Savoie, Jorge Baralt, Nagib C. Callaos, Hsing-Wei Chu, William Lesso, Mohammad Siddique, C. Dale Zinn
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages289-294
Number of pages6
ISBN (Electronic)9781936338207
StatePublished - 2011
Event2nd International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2011 - Orlando, United States
Duration: Mar 27 2011Mar 30 2011

Publication series

NameIMCIC 2011 - 2nd International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings
Volume1

Conference

Conference2nd International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2011
Country/TerritoryUnited States
CityOrlando
Period03/27/1103/30/11

Keywords

  • Climate change
  • Educational games
  • Energy choices
  • Energy Intensity
  • IPAT equation
  • Linear Regression
  • Simulation

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