{ "cells": [ { "source": [ "# 數據設置\n", "\n", "在此筆記本中,我們將展示如何:\n", "\n", "設置此模組的時間序列數據 \n", "可視化數據 \n", "此範例中的數據來自GEFCom2014預測競賽1。它包含2012年至2014年之間的3年每小時電力負載和溫度值。\n", "\n", "1陶宏、Pierre Pinson、Shu Fan、Hamidreza Zareipour、Alberto Troccoli 和 Rob J. Hyndman,\"Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond\",《國際預測期刊》,第32卷,第3期,頁896-913,2016年7月至9月。\n" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n---\n\n**免責聲明**: \n本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們致力於提供準確的翻譯,但請注意,自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵資訊,建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。\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": "2025-08-29T23:21:37+00:00", "source_file": "7-TimeSeries/1-Introduction/working/notebook.ipynb", "language_code": "mo" } }, "nbformat": 4, "nbformat_minor": 2 }