Sep 2026
An explainable deep temporal framework for cloud-based real-time load forecasting
A novel explainable deep time-series-based framework for real-time load forecasting in cloud environment, incorporating explainability techniques (XAI) such as SHapley Additive exPlanations (SHAP), which demonstrates a higher level of accuracy in the prediction of workload.
Shabnam Bawa, Rajkumar Tekchandani, Prashant Singh Rana
· Cluster Computing · 0 citations