DIA HONORABLE MENTION: Intelligent Wind Turbine Prediction System 0

Owner Unit: Fourth Paradigm (Beijing) Data & Technology Co., Ltd.

Design Unit: Fourth Paradigm (Beijing) Data & Technology Co., Ltd.

Team Member: Yun,Wei,Shaoxiong,Xinjie,Yanfen

WorkID:202341450
WORK INTRODUCTION

Through the predictive ability of machine learning, intelligent scheme for renewable energy can provide decision-making basis for intelligent operation and maintenance of the whole wind farm and fault analysis.Through the visualization of wind turbine models and data graphs, we can quickly pinpoint the fault in wind turbines and efficiently safeguard the operations and maintenance process. Through the “drag and drop” data and model settings, we can meet the custom settings of “same type and same module” and “multiple types and multiple modules” from various machine learning models to hone targeted operations and maintenance trouble-shooting capabilities.

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