新能源发电功率预测

通过建模分析风速、风向、辐照度、湿度等历史气象数据与新能源发电功率的相关性，结合未来时段内风速、风向、辐照度、湿度等气象预报数据，新能源发电转换效率及脱敏后的电网断面潮流控制约束等运行数据，生成该时段逐15分钟新能源发电功率预测产品。可用于电网电力电量平衡及新能源消纳分析业务、新能源企业并网运行及市场竞价业务提供精准、高效的服务。

By modeling and analyzing the correlation between historical meteorological data (e.g., wind speed, wind direction, irradiance, humidity) and new energy generation power, and integrating meteorological forecast data (including wind speed, wind direction, irradiance, humidity, etc.) for future time periods, as well as operational data such as new energy generation conversion efficiency and anonymized grid section power flow control constraints, this dataset generates 15-minute interval new energy generation power prediction products for the target future periods. It can provide accurate and efficient services for power grid power and energy balance analysis, new energy accommodation assessment, new energy enterprise grid connection operation and market bidding related businesses.