Data Server Energy Consumption Dataset

This repository includes the energy consumption data set of a Data Server that is running in the facilities of the Information Technology Center (CTI) of the Escuela Superior Politécnica del Litoral (ESPOL). In addition, it includes Matlab scripts to perform the prediction of energy consumption. The data acquisition equipment was implemented in the Electronic Prototype Development Matter of the Faculty of Electrical Engineering and Computing (FIEC), based on the ESP32 hardware.Link of the Electronic Design of the energy consumption meter: https://vasanza.blogspot.com/2021/02/ensemble-de-pcbs-de-desarrollo-de.html⭐ When using this resource, please cite the original publication:Estrada, R., Asanza, V., Torres, D., Bazurto, A., & Valeriano, I. (2022). Learning-based Energy Consumption Prediction. Procedia Computer Science, 203, 272-279, doi: https://doi.org/10.1016/j.procs.2022.07.035.本仓库收录了位于埃斯波利塔尔高等技术学院（ESPOL）信息技术中心（CTI）设施内运行的数据服务器能耗数据集。此外，还包括用于能耗预测的 Matlab 脚本。数据采集设备由电子原型开发系（FIEC）实施，基于 ESP32 硬件。能源消耗仪表的电子设计链接：https://vasanza.blogspot.com/2021/02/ensemble-de-pcbs-de-desarrollo-de.html⭐。在使用本资源时，请引用原始出版物：Estrada, R., Asanza, V., Torres, D., Bazurto, A., & Valeriano, I. (2022). 基于（学习）的能耗预测. 计算机科学进展，203，272-279，DOI：https://doi.org/10.1016/j.procs.2022.07.035。

搜集汇总

背景与挑战

背景概述

该数据集收集了来自ESPOL信息技术中心一台HP Z440数据服务器长达245天的能耗数据，采样频率为每秒一次，包含电压、电流、功率、CPU/GPU/RAM消耗与温度等15个关键变量。数据集旨在支持基于学习的能耗预测研究，并提供了相应的Matlab脚本和源代码，适用于服务器能效分析和机器学习模型开发。