Dataset for MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model

This is the dataset used in the paper MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model, consisting of 2 main parts, used to train the evaluator and the learner neural networks, respectively.Each part contains several files:- in_x.txt: The input of the neural network of canal segment No. x. Each row is one piece of data. The first column is the initial total water discharge. For the evaluator, other columns represent the gate opening size of each canal gate. For the learner, other columns represent the given water discharge requirements of each canal gate.- out_x.txt: The output of the neural network of canal segment No. x. Each row is one piece of data. Each column represents the target water discharge of each canal gate.- data_x.txt: The normalized static feature values of each canal gate of segment No. x, processed by min-max normalization method. Each row represents a canal gate.- index_x.txt: The static feature values of each canal gate of segment No. x after feature discretization. Each row represents a canal gate.- prev_x.txt: Only exists in the learner part. Each row is one piece of data, represents the gate opening size of the last timestamp of each canal gate of segment No. x.

本数据集为论文《MTS4WaterR：基于多任务序列模型预测开放运河控制中的闸门操作》所采用，由两个主要部分组成，分别用于训练评估器和学习者神经网络。每一部分包含多个文件：- in_x.txt：表示运河段x神经网络输入的数据。每行代表一条数据，其中第一列代表初始总水流量。对于评估器，其他列代表每个运河闸门的闸门开启大小；对于学习者，其他列代表每个运河闸门所需的水流量。- out_x.txt：表示运河段x神经网络输出的数据。每行代表一条数据，其中每列代表每个运河闸门的目标水流量。- data_x.txt：表示运河段x每个运河闸门的标准化静态特征值，通过最小-最大归一化方法处理。每行代表一个运河闸门。- index_x.txt：表示运河段x每个运河闸门在特征离散化后的静态特征值。每行代表一个运河闸门。- prev_x.txt：仅存在于学习者部分。每行代表一条数据，表示运河段x每个运河闸门上一个时间戳的闸门开启大小。