solar photovoltatic power generation forecasting apparatus and method based on big data analysis

摘要

The present invention collects various data related to photovoltaic power generation and systematically applies various analysis techniques including multi-complex artificial neural network analysis based on the collected data to predict power generation, and factors affecting the prediction of photovoltaic power generation This relates to a device and method for predicting solar power generation through big data analysis that checks each analysis every time to increase the accuracy of prediction for various environmental changes.It is related to various external temperature, insolation, humidity, etc. that affect solar power generation. In addition to predicting the variability of power production according to weather conditions and physical factors of the machine, through more accurate power generation prediction and influencing factor analysis, taking into account various factors including climate factors, pollution level of the module, and physical changes of the machine, such as module temperature. By providing basic information for efficient load operation and management of the power generation system, there is an effect that it can be widely used as basic data for the improvement of the economic feasibility of the existing installation area and the business feasibility review and decision-making of a new solar power plant.