TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149127643&doi=10.1109%2fICFTSC57269.2022.10040053&partnerID=40&md5=f9944314d4e1f7f790483283eb071cb7
AV  - none
N2  - The excessive utilization of non-renewable energy sources to fulfill the energy demands of the world, particularly in the electricity generation sector, has brought upon dire effects to the Earth's ecosystems. To reduce the dependence on non-renewable energy sources, the Malaysian government has pushed for the utilization of solar photovoltaics (PV) to produce electricity for the nation. This initiative is present in both utility scale, via the Large-Scale Solar (LSS) scheme, and domestic scale via the Net Metering (NEM) scheme. Contained in this paper is the elaboration on the utilization of Internet-of-Things (IoT) technology to evaluate the performance of PV on the domestic scale. A prototype is designed to collect data, which will then feed the data into an algorithm which will provide an evaluation of the health of a PV system. Two experiments were conducted to determine the if the integration of the mathematical model, algorithm, software, and hardware would produce a prototype can provide accurate results. The experiments conducted provided conclusive results that the data collected by the prototype is accurate as it is able to detect PV performance issues, and the results were verified via manual measurements. © 2022 IEEE.
PB  - Institute of Electrical and Electronics Engineers Inc.
KW  - Internet of things; Natural resources; Power generation; Software prototyping; Solar concentrators; Solar power generation
KW  -  Evaluation; Green technology; Internet of things technologies; Non-renewable energy sources; Performances evaluation; Photovoltaic performance; Photovoltaics; Renewable energies; Solar
KW  -  Renewable energy resources
N1  - cited By 0; Conference of 2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:186671
SP  - 176
ID  - scholars17250
SN  - 9798350334548
TI  - Photovoltaics Performance Evaluation Using IoT Technology
Y1  - 2022///
EP  - 181
A1  - Singh, M.S.A.-L.B.
A1  - Nor, N.M.
A1  - Ibrahim, T.B.
A1  - Zuraimi Rahman, M.
ER  -