Abstract
The use of PV solar energy as an alternative renewable energy source has increased worldwide. The smart grid monitoring system is applied on a micro scale for the fulfilment of household electricity needs or Smart Home Micro Grid (SHMG) using Artificial Intelligent (AI) and Internet of Things (IoT) approaches. Problems in solar PV systems include uncertainty and non-linearity which have an impact on the increasingly complex structure of the energy data generated and accelerate control and decision making. The forecasting process carried out using the AI approach is indispensable for the utilization of PV systems, especially for distributed residential PV that is operated and maintained independently. Furthermore, the use of IoT technology is also important to accelerate information processing and improve performance in the monitoring system. The purpose of this research is to develop a solar PV monitoring system framework at SHMG to optimize the performance of the electricity supply sourced from solar PV basen on IoT.
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