Abstract
Weather forecasting is the solicitation of science and technology which in together predicts the state of the atmosphere for a given location. It has always been an important application in meteorological field, and it is one of the most scientifically and technologically challenging problem around the world. Various predictions and work have been done in this weather field, but still researches are going on to achieve better accuracies in the field of weather forecasting. In our work, we have analyzed the dataset of Australia’s weather record and have considered the attributes which are present in the dataset and accordingly made our prediction model. Trained and tested the dataset and accordingly observations are made. The dataset is then classified using several classifiers, and the accuracies are compared. After classifying, we created our own ensemble model and have compared the accuracies and found that our proposed ensemble model resulted in higher accuracies.
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Saha, D., Mukherjee, I., Roy, J., Sahana, S., Singh, D. (2022). LORANEX: A New Paradigm for Multimodal Approach to Forecast Weather. In: Sikdar, B., Prasad Maity, S., Samanta, J., Roy, A. (eds) Proceedings of the 3rd International Conference on Communication, Devices and Computing. ICCDC 2021. Lecture Notes in Electrical Engineering, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-16-9154-6_35
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DOI: https://doi.org/10.1007/978-981-16-9154-6_35
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