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Overreliance on Complex Models in Time Series Forecasting

The increasing trend of using complex models in time series forecasting ignores physical laws, leading to physically impossible predictions. This approach may hinder the development of reliable and efficient forecasting systems. There is a need to balance model complexity with practical applicability.

Computing & Technology, Computer Science, Machine Learning