Long-term Power Generation Forecasting Method Based on BAS-BP Neural Network
Author:
Affiliation:
1. Beihang University,School of Computer Science and Engineering,Beijing,China
2. Xi’an University of Finance and Economics,School of Statistics,Xi’an,China
3. Dalian Jiaotong University,School of Locomotive and Vehicle Engineering,Dalian,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10090478/10090479/10090568.pdf?arnumber=10090568
Reference11 articles.
1. Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm
2. Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition
3. A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score
4. Long Short-Term Memory
5. A prediction Algorithm Of Medium And Long Term Electricity Consumption Trend Considering The Characteristics Of Industry Electricity Consumption
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