Predictive Modeling of Photovoltaic Solar Power Generation
Author:
V. D. Gil-Vera1, C. Quintero-López2
Affiliation:
1. SISCO Research Group, Luis Amigó Catholic University, Trans. 51A N° 67 B-90, Medellín, COLOMBIA 2. NBA Research Group, Luis Amigó Catholic University, Trans. 51A N° 67 B-90, Medellín, COLOMBIA
Abstract
Photovoltaic solar power referred to as solar power using photovoltaic cells, is a renewable energy source. The solar cells' electricity may be utilized to power buildings, neighborhoods, and even entire cities. A stable and low-maintenance technology, photovoltaic solar power is an appealing alternative for generating energy since it emits no greenhouse gases and has no moving components. This paper aimed to provide a photovoltaic solar power generation forecasting model developed with machine learning approaches and historical data. In conclusion, this type of predictive model enables the evaluation of additional non-traditional sources of renewable energy, in this case, photovoltaic solar power, which facilitates the planning process for the diversification of the energy matrix. Random Forests obtain the highest performance, with this knowledge power systems operators may forecast outcomes more precisely, this is the main contribution of this work.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Electrical and Electronic Engineering,Energy (miscellaneous)
Reference61 articles.
1. El-Hadary, M. I., Senthilraja, S., & Zayed, M. E., “A hybrid system coupling spiral type solar photovoltaic thermal collector and electrocatalytic hydrogen production cell: Experimental investigation and numerical modeling,” Process Safety and Environmental Protection, vol. 170, p. 1101–1120, 2023. DOI: 10.1016/j.psep.2022.12.079. 2. Mamatha, G., & Kulkarni, P. S., “Assessment of floating solar photovoltaic potential in India’s existing hydropower reservoirs,” Energy for Sustainable Development, vol. 69, p. 64–76, 2022. DOI: 10.1016/j.esd.2022.05.011. 3. Shi, M., Lu, X., Jiang, H., Mu, Q., Chen, S., Fleming, R.M., Zhang, N., Wu, Y., & Foley, A.M., “Opportunity of rooftop solar photovoltaic as a cost-effective and environment-friendly power source in megacities,” iScience, vol. 25, No. 9, p. 104890, 2022. DOI: 10.1016/j.isci.2022.104890. 4. Yang, H., & Wang, H., “Numerical simulation of the dust particles deposition on solar photovoltaic panels and its effect on power generation efficiency,” Renew Energy, vol. 201, p. 1111–1126, 2022. DOI: 10.1016/j.renene.2022.11.043. 5. Veeramanikandan, M., Arjunan, T. V., & Jidhesh, P., “Experimental investigation of sandwich glazed solar photovoltaic module,” Mater Today Proc, vol. 27, p. 136–139, 2020. DOI: 10.1016/j.matpr.2019.09.069.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|