With the increasingly serious global energy crisis and environmental pollution problems,photovoltaic power generation as a clean and renewable energy has been widely concerned.This paper presents a photovoltaic power prediction system based on the Internet of Things and Long Short-Term Memory(LSTM).The overall architecture of the system is introduced,the data acquisition part based on the Internet of Things is elaborated,the real-time monitoring and analysis of the environmental data of photovoltaic power station is used to achieve photovoltaic power generation power prediction,the hardware and software configuration of the system is deeply discussed,and the specific steps of data pre-processing,feature extraction,model training and system integration are defined,and the system is constructed for testing.
关键词
物联网/光伏发电/功率预测
Key words
Internet of Things/photovoltaic power generation/power prediction
维普
万方数据