{ "cells": [ { "source": [ "# 数据设置\n", "\n", "在本笔记中,我们将演示如何:\n", "\n", "设置本模块的时间序列数据 \n", "可视化数据 \n", "\n", "本示例中的数据来自GEFCom2014预测竞赛。数据包括2012年至2014年间3年的每小时电力负荷和温度值。\n", "\n", "1陶宏、Pierre Pinson、Shu Fan、Hamidreza Zareipour、Alberto Troccoli和Rob J. Hyndman,“概率能源预测:全球能源预测竞赛2014及未来”,《国际预测期刊》,第32卷,第3期,页896-913,2016年7月至9月。\n" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n---\n\n**免责声明**: \n本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保翻译的准确性,但请注意,自动翻译可能包含错误或不准确之处。原始语言的文档应被视为权威来源。对于关键信息,建议使用专业人工翻译。我们不对因使用此翻译而产生的任何误解或误读承担责任。\n" ] } ], "metadata": { "kernel_info": { "name": "python3" }, "kernelspec": { "name": "python37364bit8d3b438fb5fc4430a93ac2cb74d693a7", "display_name": "Python 3.7.0 64-bit ('3.7')" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" }, "nteract": { "version": "nteract-front-end@1.0.0" }, "metadata": { "interpreter": { "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d" } }, "coopTranslator": { "original_hash": "5e2bbe594906dce3aaaa736d6dac6683", "translation_date": "2025-09-03T19:57:09+00:00", "source_file": "7-TimeSeries/1-Introduction/working/notebook.ipynb", "language_code": "zh" } }, "nbformat": 4, "nbformat_minor": 2 }