Quarterly Publication

Integrating Data Mining and System Dynamics for Enhanced Model Energy Policy Development and Sustainability Assessment

Document Type : Original Article

Authors

1 M.S., Department of Energy, Faculty of New Science and Technologies, Semnan University, Iran

2 Professor of Mechanical Engineering, Semnan University, Semnan, Iran

3 Assistant Professor, Research Institute for Energy Management and Planning, Tehran University, Tehran, Iran

4 Assistant Professor, Mechanical Engineering, Abadan Petroleum Faculty, Petroleum University of Technology, Abadan, Iran

Abstract
Identification of the strategic parameters of Iran’s energy-policy model;
• Sensitivity analysis of the entire dynamic model considering system stability in uncertainty conditions;
• Machine process including sentence-mining, analysis of frequent patterns, prediction of time series, and
formation of dynamic analysis blocks in dynamic systems analysis;
• Extraction of the strategic parameters of the carrying capacity in the energy-policy model.

Highlights

·      Identification of the strategic parameters of Iran’s energy-policy model;

·      Sensitivity analysis of the entire dynamic model considering system stability in uncertainty conditions;

·      Machine process including sentence-mining, analysis of frequent patterns, prediction of time series, and formation of dynamic analysis blocks in dynamic systems analysis;

·      Extraction of the strategic parameters of the carrying capacity in the energy-policy model.

Keywords

Subjects

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  • Receive Date 29 August 2024
  • Revise Date 24 December 2024
  • Accept Date 04 January 2025