| Issue |
E3S Web Conf.
Volume 293, 2021
2021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|
|
|---|---|---|
| Article Number | 02063 | |
| Number of page(s) | 6 | |
| Section | Environmental Energy and Civil Engineering and Water Conservancy Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202129302063 | |
| Published online | 23 July 2021 | |
Energy Demand Forecast in Yunnan Province Based on Seq2Seq Model
1 Electric Power Research Institute, Yunnan Power Grid Co. Ltd, Kunming, China
2 Key Laboratory in Software Engineering of Yunnan Province, School of Software, Yunnan University, China
* Corresponding author: lsyfd27@sina.com
Energy demand forecast has an important practical significance for the sustainable development of the national economy, the reasonable allocation of resources, and the construction of modernization goals. This study is based on the analysis of coal, electricity, natural gas, and other energy data in Yunnan Province from 2011 to 2018 and uses long short-term memory, sequence to sequence, deep learning, and ridge regression coupling methods to construct an energy demand forecast model in Yunnan Province. Forecast results show the following. The total energy consumption of Yunnan Province from 2021 to 2025 will continue to increase. Moreover, the coal consumption of Yunnan Province will continue to decline from 2021 to 2025. Furthermore, the electricity consumption of Yunnan will increase by about 8.02% year-on-year from 2021 to 2025. The experiment proves that the forecasting effect of the energy demand forecast model proposed in this study is excellent.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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