
Post Requirements

Post Requirements
Product information
functional characteristics
The photovoltaic power prediction system uses various algorithms such as LSTM time series model and WRF weather model. These algorithms are combined into a prediction model according to different prediction times. For the prediction results of each algorithm, appropriate weights are selected for weighted average to obtain the final prediction result. The weight selection adopts equal weight average method or minimum variance method to ensure the accuracy and precision of prediction
product details
The photovoltaic power generation power prediction system not only improves the safety and smoothness of the power grid, but also improves the operation and management efficiency of photovoltaic power plants and flexibly manages photovoltaic power plants, thereby bringing economic benefits to photovoltaic power generation companies. The reduction of photovoltaic power generation power has made positive contributions to the difficulty of power grid scheduling and improving the friendliness of power grid connection. The forecast data can help power grid dispatch reasonably arrange power generation plans, reasonably increase or reduce the number of hours for photovoltaic power generation online, and greatly improve the power grid consumption capacity. While reducing carbon emissions, it also achieves real cost reductions and improves the operation and maintenance management level of photovoltaic power generation companies. For example, during regular maintenance every month, based on the predicted power prediction results of power generation, you can choose to forecast future photovoltaic power during the time period when the power generation power is low, and perform maintenance through prediction of future photovoltaic power generation. During periods when power generation power is good, increase the number of power generation hours to save energy and reduce emissions while improving economic benefits.








![[Used] laser](https://cdn.sumecdtx.com/equipment/20230818/928f9346aceb42e3b60670c380399f59.jpg)









Search

