Shandong University’s MCST-SegNet Model Revolutionizes Wind Power Forecasting
In the quest for more efficient and reliable renewable energy integration, researchers have made a significant stride in wind power prediction. A novel model developed by Xingdou Liu and colleagues from the School of Electrical Engineering at Shandon
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