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Wind Power Prediction for Wind Farm Clusters Based on the Multi-feature Similarity Matching Method.

, , , , , , , , and . IAS, page 1-11. IEEE, (2019)

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Reactive power control of grid-connected wind farm based on adaptive dynamic programming., , , , and . Neurocomputing, (2014)Enhancing Active Power Transfer Capability for Hybrid MMC Integrated with Weak AC Grid through Parameter Adjustment., , and . IECON, page 4805-4810. IEEE, (2019)Distributed voltage control for DC mircogrids with coupling delays & noisy disturbances., , , , , and . IECON, page 2461-2466. IEEE, (2017)Fault characteristics analysis of two HVDC technologies for wind power integration., , and . ISGT, page 1-6. IEEE, (2014)A discrete point estimate method for probabilistic load flow based on the measured data of wind power., , , and . IAS, page 1-7. IEEE, (2012)Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (7): 9970-9984 (July 2024)Multi Objective Swarm Optimization Design Fuzzy Controller to Adjust Speed of AC Motor Drive., and . ICSI (1), volume 7928 of Lecture Notes in Computer Science, page 522-529. Springer, (2013)An Investigation on the active power variations of wind farms., , , and . IAS, page 1-8. IEEE, (2011)Implementing Power System Management via Semantic Web Services Composition., , and . ISNN (1), volume 5551 of Lecture Notes in Computer Science, page 1154-1160. Springer, (2009)Distributed Optimal Control of Energy Storages in a DC Microgrid With Communication Delay., , , , , and . IEEE Trans. Smart Grid, 11 (3): 2033-2042 (2020)