Robust Proactive Power Smoothing Control of PV Systems Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China
2. College of Science and Engineering, James Cook University, Cairns, QLD, Australia
Funder
XJTLU AI University Research Centre
Jiangsu Province Engineering Research Centre of Data Science and Cognitive Computational
XJTLU Research Development Funding
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/10157992/10026240.pdf?arnumber=10026240
Reference33 articles.
1. Cloud Motion Forecasting and Cloud Base Height Estimation Using Two Low-Cost Sky Cameras
2. Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems
3. Deep Learning Based Multistep Solar Forecasting for PV Ramp-Rate Control Using Sky Images
4. Sub-minute probabilistic solar forecasting for real-time stochastic simulations
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