Energy_Consumption_Curves_of_499_etc

displayName: Energy Consumption Curves of 499 Customers from Spain
license:
- CC BY 4.0
mediaTypes:
- Time series
paperUrl: https://arxiv.org/pdf/2110.02166v1.pdf
publishDate: "2021"
publishUrl: https://fordatis.fraunhofer.de/handle/fordatis/215
publisher:
- Fraunhofer Institute for Integrated Circuits
- Bettergy
tags:
- Energy Consumption
taskTypes:
- Time Series Regression

---
# 数据集介绍
## 简介
能源消耗的预测对于能源零售商来说至关重要，以尽量减少与日前市场获得的能源和客户实际消耗的偏差。智能电表的日益普及意味着零售商可以实时访问所有签约客户的每小时消费值。使用机器学习算法，这些每小时值可用于计算客户未来能源消耗的预测。目前的数据集允许训练和验证基于 AI 的预测模型。
## 引文
```
@inproceedings{mey2021prediction,
title={Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation},
author={Mey, Oliver and Schneider, Andr{\'e} and Enge-Rosenblatt, Olaf and Bravo, Yesnier and Stenzel, Pit},
booktitle={2021 10th International Conference on Power Science and Engineering (ICPSE)},
pages={61--71},
year={2021},
organization={IEEE}
}
```

## Download dataset
:modelscope-code[]{type="git"}