Study on Natural Gas Price Forecasting Based on Prophet-GRU Nonlinear Combination
Author:
Affiliation:
1. College of Electrical Engineering and Control Science, Nanjing Tech Universite,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9828375/9828407/09828442.pdf?arnumber=9828442
Reference14 articles.
1. Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network
2. Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
3. A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
4. Optimal management of cultivated land coupling remote sensing-based expected irrigation water forecasting
5. RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention
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3. Natural Gas Price Forecasting using Statistical Models and Deep Learning Models;2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA);2023-06-16
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