Time Series Forecasting

concepts · 6 notes linked

Related: Deep Learning · Informer · Long Sequence Modeling · Graph Neural Networks · Supply Chain Optimization · Complex Systems · Predictability · Network Dynamics

Notes

• GitHub - sktime/pytorch-forecasting: Time series forecasting with PyTorch — High-level PyTorch library for deep learning time series forecasting
• GitHub - zhouhaoyi/ETDataset: The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem. — Two-year real-world electricity transformer dataset for long-sequence forecasting
• Predictability of Complex Systems — Review of theoretical limits and methods for predicting complex systems
• Salesforce AI Research Proposes 'DeepTime,' A Deep Time-Index Based Model Trained Via A Meta-Learning Formulation To Automatically Learn A Representation Function From Time-Series Data — Deep time-index meta-learning model for non-stationary time-series forecasting
• Temporal Graph Neural Networks for Multi-Product Time Series Forecasting — Temporal GNNs modeling cross-SKU dependencies for retail sales forecasting
• Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer) — Autoformer transformer outperforms DLinear baseline for time series forecasting