Abstract
This paper explores into Saudi Arabia's global leadership in renewable energy, particularly its solar initiatives. The study employs a detailed analysis of input variables, including time, temperature, wind speed, humidity, and air pressure, forming the basis for a predictive model focused on Umax (voltage). Rigorous data analysis establishes the reliability of findings, paving the way for further exploration into the models' inner workings. The paper concludes by highlighting the significance of the research for stakeholders, offering nuanced insights into Umax variations and optimizing solar power generation on a global scale.
| Original language | English |
|---|---|
| Title of host publication | 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1368-1372 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350372229 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024 - Manama, Bahrain Duration: 28 Jan 2024 → 29 Jan 2024 |
Publication series
| Name | 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024 |
|---|
Conference
| Conference | 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024 |
|---|---|
| Country/Territory | Bahrain |
| City | Manama |
| Period | 28/01/24 → 29/01/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy Efficiency
- Environmental Impact
- Machine Learning Algorithms
- Sustainability
ASJC Scopus subject areas
- Business and International Management
- Management Information Systems
- Organizational Behavior and Human Resource Management
- Artificial Intelligence
- Information Systems and Management
- Economics, Econometrics and Finance (miscellaneous)
- Renewable Energy, Sustainability and the Environment
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