Wu, Li and Chen, Yongjun and Li, Bo and Zou, Liangyu (2024) A Neural Network-Based Model for Predicting Electricity Revenue in the Context of New Energy. In: Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China.
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Abstract
Through big data analysis and modeling research on short-term and long-term electricity bill prediction in the power market, the results show that exponential smoothing method, ARMA model, maximum information entropy model, and "association rule+ARMA" models are suitable for short-term electricity b
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:30 |
| Last Modified: | 16 Apr 2026 23:55 |
| URI: | http://eprints.eai.eu/id/eprint/48618 |
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