Multi-level deep domain adaptive adversarial model based on tensor-train decomposition for industrial time series forecasting
Chen Yang,
Chuang Peng,
Lei Chen
et al.
Abstract:The polyester industry is a complex process industry, building a time series prediction model for new production lines or equipment with new sensors can be challenging due to a lack of historical data. The time-series data collected from sensors cross-production-line often exhibit varying distributions. Current domain adaptation (DA) approaches in data-driven time series forecasting primarily concentrate on adjusting either the features or the models, neglecting the intricacies of industrial time series data. … Show more
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