Analysis of Shanghai's Industrial Load Forecasting Based on Grey Prediction Method
The energy plan for Shanghai's 14th Five Year Plan predicts that Shanghai's energy demand will steadily increase. Under the "dual carbon" target, Shanghai's energy consumption structure will be more optimized, and the increase in the proportion of clean energy will enhance the uncertainty of the power system. It is necessary to use more accurate method to predict Shanghai's power load. This article uses grey prediction method to forecast and analyze the power load of the entire industries in Shanghai from 2023 to 2025, and compares it with LSTM and BP neural network methods. Appropriate suggestions for the development of energy and power in Shanghai are provided based on the results.
Authors
- Pengfei Zhang (ORCID: https://orcid.org/0000-0003-4437-8112)
- Zhe Liu (ORCID: https://orcid.org/0000-0001-6753-0303)
- Heyang Yan
- Jing Liu (ORCID: https://orcid.org/0000-0001-7555-2190)
- Ying Fan (ORCID: https://orcid.org/0000-0002-2368-2572)
- Chun‐Yi Chen (ORCID: https://orcid.org/0000-0002-1344-4271)
- Huangru Zhu
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iciba62489.2024.10867895
- Primary Topic
- Grey System Theory Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00