@inproceedings{scholars17277, title = {Performance Evaluation of Solar Power Plant Using Exploratory Data Analysis}, year = {2022}, journal = {2022 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022}, doi = {10.1109/ICCUBEA54992.2022.10011125}, note = {cited By 0; Conference of 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022 ; Conference Date: 26 August 2022 Through 27 August 2022; Conference Code:186077}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, keywords = {Data Analytics; Data handling; Data visualization; Information analysis; Solar power plants; Visualization, Current monitoring systems; Dashboard; Data analytics; Exploratory data analysis; Maintenance systems; Malaysia; Monitoring system; Performances evaluation; Plant monitoring; Power, Solar energy}, isbn = {9781665484510}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147416804&doi=10.1109\%2fICCUBEA54992.2022.10011125&partnerID=40&md5=bf82f966f54286c1d9083d1889f6446a}, author = {Raizal, F. N. and Ariffin, M. M. and Zakariya, M. A.}, abstract = {This study enhances the current monitoring and maintenance system of a solar power plant in a rural area in Sabah, Malaysia by performing data analytics and data visualizations on the collected data. The specific objectives of this project are to investigate the parameters of the solar power plant monitoring system, to conduct exploratory data analysis on the collected data by developing data visualizations, and to integrate the developed data visualizations into dashboards. The methodology used in the development of this project is Agile, and the final outcome are dashboards developed using Power BI. Based on the exploratory data analysis, faulty or underperforming inverters were detected, and factors affecting the daily yield were identified. {\^A}{\copyright} 2022 IEEE.} }