Method and system for forecasting environmental meteorological data of transmission line

Abstract

The invention discloses a method and system for predicting environmental meteorological data of transmission lines, relates to the technical field of meteorological model prediction, and solves the technical problems of poor anti-drying ability and susceptibility to data interference of traditional meteorological prediction methods. The main points of the technical scheme are Collect the environmental meteorological data of the transmission line and the weather forecast data corresponding to the time, and then divide these data into training set and test set, put the training set into the TCN model combined with weighted channels for training to obtain the weather forecast model, and then use the test set to The weather forecasting model is tested, thereby adjusting the hyperparameter Θ of the weather forecasting model, and then repeating the model training until the weather forecasting model converges or reaches the maximum number of iterations to obtain the final forecasting model. The final prediction model obtained by the above method has strong anti-drying ability, and is not easily disturbed by abnormal data, and the final prediction data is more accurate than the existing model.

Description

technical field [0001] The present disclosure relates to the technical field of meteorological prediction models, in particular to a method and system for predicting environmental meteorological data of transmission lines. Background technique [0002] With global warming and abnormal circulation, extreme weather has become more frequent. In recent years, ice disasters in southern my country have caused large-scale collapse of towers, damage to towers, broken lines, and insulators falling off in large areas, resulting in large-scale and long-term power outages. , seriously affecting normal production and life, and bringing a heavy burden of power grid restoration. Weather prediction plays a very important role in power system planning, disaster prevention and mitigation, real-time monitoring and many other fields. For example, the output power of photovoltaic power generation system depends largely on the amount of solar radiation that photovoltaic panels can receive. The am...

AI Technical Summary

Problems solved by technology

However, due to the complexity and difficulty of the meteorological prediction problem itself, especially for the application scenarios where the accuracy of the environmental meteorological prediction of the transmission line is high, once a misjudgment may affect the normal production and safety of the society, there are still predictions in relevant methods at present. Due to problems such as low accuracy and poor anti-interference ability, it is impossible to accurately predict the meteorological conditions in the future

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