Email this article Harnessing Solar Power at peak efficiency through Prediction Modeling
Abstract
This research paper aims to address the need for optimizing solar power production by developing prediction models for three important solar irradiance parameters: Clearsky DHI (Diffuse Horizontal Irradiance), Clearsky DNI (Direct Normal Irradiance), and Clearsky GHI (Global Horizontal Irradiance). The dataset used in this study spans a period of ten years, collected at a 30-minute interval, and includes various meteorological and environmental parameters. By accurately predicting these solar irradiance components, a solar power generation company can enhance the efficiency and effectiveness of their operations, leading to improved energy yield and cost savings. This paper explores the development and evaluation of prediction models using the dataset, focusing on machine learning techniques and statistical analysis.
Keywords
References
A. Kumar, S. Gupta, N. Yathiraju, S. Bose Chakraborty, K. Dodda and D. Verma, "The Novel E-Way of Identifying the Face Mask and To Ware the System in the Crowd Management System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 999-1002, doi: 10.1109/ICACITE57410.2023.10182427.
R. Pandey, S. Saha, N. Yathiraju, I. S. Abdulrahman, R. Nittala and V. Tripathi, "Integration of RFID and Image Processing for Surveillance ABased Security System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 380-384, doi: 10.1109/ICACITE57410.2023.10182987.
M. Nagaraju Naik, A. Kaur, N. Yathiraju, S. Das and K. Pant, "Improved and Accurate Face Mask Detection Using Machine Learning in the Crowded Places," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 572-576, doi: 10.1109/ICACITE57410.2023.10182567.
N. Yathiraju, P. Raman, R. Madala, P. Surgonda Patil, A. Kumar and S. Ashwin, "Research and Innovation to Market Development: Artificial Intelligence in Business," 2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India, 2023, pp. 1-6, doi: 10.1109/ICONSTEM56934.2023.10142715.
N. Yathiraju, A. Sankar, S. Sandhiya, S. k. R, S. K and R. S, "Cardiac Disease Prediction for Heart Monitoring using Data Mining Techniques," 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), Bengaluru, India, 2022, pp. 1282-1287, doi: 10.1109/IIHC55949.2022.10060047.
Yathiraju, N., & Mohapatra, A. (2023). "The Implications of IoT in the Modern Healthcare Industry post COVID-19," International Journal of Smart Sensor and Adhoc Network: Vol. 3: Iss. 4, Article 3. DOI: 10.47893/IJSSAN.2023.1226
Yathiraju, N., & Dash, B. (2023). Gamification Of E-Wallets With The Use Of Defi Technology-A Revisit To Digitization In Fintech. International Journal of Engineering, Science, 3(1).
Yathiraju, N., & Dash, B. (2023). BIG DATA AND METAVERSE REVOLUTIONIZING THE FUTURISTICFINTECH INDUSTRY,” International Journal of Computer Science & Information Technology(IJCSIT) Vol 15, No.1, 2023. DOI: 10.5121/ijcsit.2023.15101
Ahammad, D. S. H. ., & Yathiraju, D. . (2021). Maternity Risk Prediction Using IOTModule with Wearable Sensor and Deep Learning Based Feature Extraction andClassification Technique. Research Journal of Computer Systems and Engineering,2(1), 40:45
Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.
Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.
Whig, P., & Ahmad, S. N. (2011a). On the performance of ISFET-based device for water quality monitoring. Int’l J. of Communications, Network and System Sciences, 4(11), 709.
Whig, P., & Ahmad, S. N. (2012a). A CMOS integrated CC-ISFET device for water quality monitoring. International Journal of Computer Science Issues, 9(4), 1694–1814.
Whig, P., & Ahmad, S. N. (2012f). Performance analysis of various readout circuits for monitoring quality of water using analog integrated circuits. International Journal of Intelligent Systems and Applications, 4(11), 103.
Whig, P., & Ahmad, S. N. (2013a). A novel pseudo-PMOS integrated ISFET device for water quality monitoring. Active and Passive Electronic Components, 2013.
Whig, P., & Ahmad, S. N. (2014a). Development of economical ASIC for PCS for water quality monitoring. Journal of Circuits, Systems and Computers, 23(06), 1450079.
Whig, P., & Ahmad, S. N. (2014c). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 International Journal of Machine Learning for Sustainable Development
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Impact Factor :
JCR Impact Factor: 5.9 (2020)
JCR Impact Factor: 6.1 (2021)
JCR Impact Factor: 6.7 (2022)
JCR Impact Factor: 7.6 (2023)
JCR Impact Factor: 8.6 (2024)
JCR Impact Factor: Under Evaluation (2025)
A Double-Blind Peer-Reviewed Refereed Journal