Evaluating the Role of Energy Demand Prediction on Energy Dependency Mitigation: A Generic System Dynamics Model

Utilizing available renewable energy resources has been characterized as a reliable indicator to mitigate energy dependency in countries as well as securing the supplying of energy-based needs in the future. This research explores the impact of renewable energy as trustworthy resources in mitigating energy imports and how accurately predicting the energy consumption can lead to better examination of energy dependency. A system dynamics model with special aim on the role of renewable energy resources on decreasing energy dependency has been constructed. By analyzing the dynamics of the model, different scenarios of renewable energy policies are employed as interventions to be implemented and assessed in the model while investigating the applicability of renewable energies to manage national energy supply sustainably. To illustrate the benefits of renewable energy utilization, the proposed model is applied to a case study to analyze the decrease in imported energy resources from external sources. The results indicate that the system dynamics approach outperforms in predicting energy demand compared to the most commonly used techniques in energy forecasting studies and under which policies the desired level of energy dependency will be sustainably achieved.

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Publication Details

Journal
Transactions on Machine Learning and Artificial Intelligence
Published
2025-07-25
DOI
https://doi.org/10.14738/tmlai.1304.19119
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Evaluating the Role of Energy Demand Prediction on Energy Dependency Mitigation: A Generic System Dynamics Model

Transactions on Machine Learning and Artificial Intelligence
Geochemistry and Geologic Mapping
article

Evaluating the Role of Energy Demand Prediction on Energy Dependency Mitigation: A Generic System Dynamics Model

article en

Abstract

Utilizing available renewable energy resources has been characterized as a reliable indicator to mitigate energy dependency in countries as well as securing the supplying of energy-based needs in the future. This research explores the impact of renewable energy as trustworthy resources in mitigating energy imports and how accurately predicting the energy consumption can lead to better examination of energy dependency. A system dynamics model with special aim on the role of renewable energy resources on decreasing energy dependency has been constructed. By analyzing the dynamics of the model, different scenarios of renewable energy policies are employed as interventions to be implemented and assessed in the model while investigating the applicability of renewable energies to manage national energy supply sustainably. To illustrate the benefits of renewable energy utilization, the proposed model is applied to a case study to analyze the decrease in imported energy resources from external sources. The results indicate that the system dynamics approach outperforms in predicting energy demand compared to the most commonly used techniques in energy forecasting studies and under which policies the desired level of energy dependency will be sustainably achieved.

Transactions on Machine Learning and Artificial IntelligenceVol. 13(04)
Northern Illinois University (US)
Affordable and clean energy
Openalex Percentile: Top 40%
Geochemistry and Geologic Mapping
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Evaluating the Role of Energy Demand Prediction on Energy Dependency Mitigation: A Generic System Dynamics Model · Transactions on Machine Learning and Artificial Intelligence (2025) | TGRS Research Map | TGRS