Development of an Intelligent IoT Platform for PV Power Plant Monitoring and Control

PV power plants are a promising renewable energy source nowadays. However, due to the highly stochastic properties of renewable energy, monitoring and controlling PV power plants is not an easy task, especially when having to monitor and control multiple PV power plants at the same time. With the help of recent developments in IoT platforms and AI technology, a monitoring system can be developed to solve the issues. An IoT platform that utilizes a web server to monitor and control multiple PV power plants is implemented and presented. LSTM and BiLSTM models are also developed to produce day-ahead PV power generation forecasting by using weather data. The trained model is implemented in the web server, and the BiLSTM achieves a 9.67% forecast error when compared to measured PV power generation data.