Implementation of Big Data Analytics for Simulating, Predicting & Optimizing the Solar Energy Production
This paper investigated and reviewed the current big data methods and tools in solar energy production. It discusses the comprehensive two-stage design and evaluation for examining the optimal structure for renewable energy systems. In the design stage, technical and economic aspects are discussed based on a robust analysis of all input/output variables for determining the highest performance. Next, assess and evaluate the effectiveness of each method under different circumstances conditions. Then convert each qualitative indicator into a quantitative measure using extensive data analysis methods to determine the overall performance of the various qualitative variables. The paper also provides an in-depth analysis of the mathematical techniques used in measuring the efficiency of the renewable energy production system and discussing future axes of work in the field of specific energy.
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Email Address of Submitting Author
acaapub@gmail.comORCID of Submitting Author
0000-0003-2110-8347Submitting Author's Institution
International Applied Computing & Applications publisherSubmitting Author's Country
- Oman