An Integrated Transfer Learning Method for Power Generation Prediction of Run-Off Small Hydropower in Data-Scarce Areas
Author:
Affiliation:
1. College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10372481/10129165.pdf?arnumber=10129165
Reference35 articles.
1. Sustainable development pathways of hydropower in China: Interdisciplinary qualitative analysis and scenario-based system dynamics quantitative modeling
2. Towards an ethnography of small hydropower in China: Rural electrification, socioeconomic development and furtive hydroscapes
3. Assessment power generation potential of small hydropower plants using GIS software
4. Machine Learning-Based Small Hydropower Potential Prediction under Climate Change
5. Short-term Load Prediction of Integrated Energy System with Wavelet Neural Network Model Based on Improved Particle Swarm Optimization and Chaos Optimization Algorithm
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