12 datasets found

The dataset used in this paper for efficient industrial refrigeration scheduling with peak pricing.

The dataset used in the paper is a set of tasks with time constraints, where each task has a unique priority and is repeated indefinitely.

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...

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...

The dataset used for field service scheduling, with customer-orders, technician-assignments, and schedule quality.

The dataset used in the paper is a synthetic workload, where clients send requests with different input and output lengths, and with varying request rates.

The dataset used in this paper is a variant of the workforce scheduling problem called TRSP. This variant incorporates several state-of-the-art constraints such as time windows,...

The dataset contains 420 instances with varying number of big trains, each with 1 to 4 unit trains, and different configurations of dumpers, conveyors, and stackers.

The Flexible Job-Shop Scheduling Problem (FJSSP) is a combinatorial optimization problem where the goal is to find the optimal schedule for a set of jobs on a set of machines.

The dataset used in this paper is a collection of instances of the Unrelated Parallel Machine Scheduling Problem (UPMS) with sequence-dependent setup times and different release...

The gasoline blending scheduling problem is a multiobjective optimization problem that involves resource allocation and operation sequencing to meet a refinery's production...

The dataset used in this paper is a community battery model comprising 60 residential homes, each equipped with a 2 kWp solar PV system.