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Distributional Reinforcement Learning for Scheduling of Chemical Production P...
The dataset used in this paper is a multi-product plant where the conversion of raw material to product only requires one processing stage. -
PSPB model dataset
The dataset used in this paper is a positive-sequence power balance (PSPB) model, which is used to generate training data. The PSPB model consists of power variation models for... -
Modified 33-node system dataset
The dataset used in this paper is a modified 33-node system, which is a radial 12.66 kV distribution network. The forecast total load and wind power over the 24-hour period are... -
Field Service Scheduling Dataset
The dataset used for field service scheduling, with customer-orders, technician-assignments, and schedule quality. -
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Sched...
The gasoline blending scheduling problem is a multiobjective optimization problem that involves resource allocation and operation sequencing to meet a refinery's production...