A Deep Learning Based High Resolution Power Meteorological Forecasting System Based On A Multi Mode Set

Abstract

The present invention discloses a deep learning based high resolution power meteorological forecasting system based on a multi-mode set. the proposed method helps to increase the accuracy of the numerical forecast. The system in order to enhance the characteristic of meteorological data (Multimodal Fusing for Visibility Prediction). Ingeniously, by incorporating the multimodal data of using satellite photos to estimate manufacturing emissions, the outcome of the prediction proves to be superior to the state of the art. In the present invention, the practice of predicting the atmosphere's condition for a specific location using several meteorological characteristics is known as weather forecasting. Data on the status of the atmosphere as it is collected to create weather forecasts. For meteorologists and scholars, forecasting the weather with any degree of accuracy has proven to be difficult. Every aspect of life, including agriculture, tourism, the airport system, the mining industry, and the production of electricity, depends on weather information.

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