3results about How to "Accurate forecast" patented technology

The present invention provides a device and method for predicting the output power of a photovoltaic power station in the ultra-short term. Power prediction data, power residual prediction data, outer envelope power fitting prediction value and inner envelope power fitting prediction value are respectively obtained through a small model prediction module, a residual prediction module and an envelope power fitting prediction value, and the above data are fused through a module to obtain a final prediction value. The device and method have the advantages of accurate prediction, low cost and saving deployment time.

The invention relates to a short-time forecasting and correcting method for visibility of an expressway. The method comprises the following steps: acquiring 10-minute meteorological observation historical data of traffic meteorological observation stations along a measured road section of the expressway; calculating a Pearson's correlation coefficient between the visibility and each meteorological factor, and carrying out significance test; acquiring hour-by-hour real-time meteorological observation data along the measured road section of the expressway; training the LSTM prediction model to obtain visibility prediction results of stake marks per 10 minutes in the future 2 hours; the method comprises the following steps: performing probability correction on a visibility prediction result by using visibility observation data obtained from an automatic weather station, performing trend correction on the visibility prediction result by using visibility data inverted by a video image and obtained along a highway, and correcting a subsequent new visibility prediction result by using a correction result. And obtaining visibility forecasting results of stake marks and 10-minute intervals along the measured road section of the expressway within 0-2 hours of short-time adjacent time.

The present application relates to the field of tunnel advanced geological prediction, and provides a surrounding rock grade intelligent prediction method based on TSP-geological information fusion, first extracts TSP trend characteristics, and carries out spatial registration with the face mileage in the geological information; then, abnormal data screening rules are formulated for the TSP trend characteristics, and abnormal data is eliminated; on this basis, the processed TSP trend characteristics and the surrounding rock grade of the construction surface are used as model inputs, different construction surface categories are divided to model, and the TSP detection data distribution under different construction surface conditions is different, a surrounding rock grade prediction model is established by combining knowledge driving and data driving. Finally, the surrounding rock information in the design stage is added to the TSP single prediction result for intelligent decision-making, so as to realize the surrounding rock grade prediction. The present application can effectively improve the prediction accuracy, and has important significance for protecting the life and property safety of tunnel construction.