Abstract
Accurate weather prediction is a challenging task. It involves large amount of data and computation, which vary dynamically. This paper discusses a novel idea of using Multi Agent System (MAS) for weather forecasting, particularly in the Indian context. The proposed approach incorporates a deep neural network model within MAS with a hybrid ANN algorithm to recognize the static and dynamic weather conditions. The approach uses ensemble prediction to account for indeterminism in weather conditions. Predictions and alerts given by MAS can help the government and local authorities to plan precautions in a timely manner. The paper discusses the implementation challenges and advantages of a MAS Model compared to Numerical Weather Prediction method.
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Sreedevi, A.G., Palaniappan, S., Shankar, P., Sugumaran, V. (2022). Multi-agent System for Weather Forecasting in India. In: Abramowicz, W., Auer, S., Stróżyna, M. (eds) Business Information Systems Workshops. BIS 2021. Lecture Notes in Business Information Processing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-031-04216-4_10
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DOI: https://doi.org/10.1007/978-3-031-04216-4_10
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