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I want to forecast long-term demand on a weekly basis with high accuracy, taking into account seasonal variations and sudden events. Which model is appropriate?
①Demand clustering using k-means
②Fixed-coefficient prediction using simple linear regression
③Time-series models using recurrent neural networks such as LSTM.
④Association rule mining
⑤Dimensionality reduction using principal component analysis only.