46 results about "Predictive variables" patented technology

The invention relates to a data prediction model adjusting and optimizing method based on an LSTM network. The method include steps of preprocessing: obtaining previous N small period values of a to-be-predicted variable, and extracting data of previous multiple variables whose correlation coefficient sums are greater than a coefficient threshold in a data set to form a training set; and model training: performing N rounds of training according to a sequence of the period values from large to small to calculate an optimal solution model, wherein each round of training comprises converting thetraining set from time sequence data to a supervised learning sequence; inputting the supervised learning sequence to the LSTM network to obtain a training model of the round; and comparing a root-mean-square error obtained by the training model of the round with a root-mean-square error obtained by training of the previous round, and reserving the training model corresponding to a smaller value as the optimal solution model. The invention also relates to a data prediction model adjusting and optimizing apparatus based on the LSTM network. According to the adjusting and optimizing method and the apparatus, optimization is performed based on the LSTM network, data prediction can be realized, the calculating speed is fast, and the prediction effect is good.

The invention provides a model prediction control method and device for a building air conditioner and relates to the field of control over indoor environments. The model prediction control method comprises the steps that historical thermal environment data of control areas are collected; thermal environments of the control areas in the preset prediction period are predicted according to the historical thermal environment data and predictive variables of the control areas; and according to the prediction result and the time-share energy price, end equipment of the building air conditioner is controlled, so that the control areas are in the comfort degree interval in the preset prediction period, and the energy cost requirement of users are met. According to the technical scheme of the model prediction control method and device for the building air conditioner, optimizing control over the end equipment of the air conditioner is achieved, the comfort degree requirement and the energy cost requirement of the users are considered, the application scene meeting the personalized target requirements of the users is achieved, and the innovative control method that a project is easy to implement, and precision is guaranteed is formed.

A computer-implemented method for prescriptive time-series forecasting, which combines both what-if analysis and goal-seeking analysis. The method comprises building a model for a target metric with a set of predictors, based on historical time-series data, and computing, using the model, a set of forecast values. Using the set of forecast values with respect to a forecasting period, both a set of goals for the target metric and a set of constraints for the predictors are analyzed. A set of updated forecasts based on the analyses with respect to the forecasting period is determined to meet the goals within the set of constraints. The updated set of forecasts is presented with respect to the forecasting period, e.g., using a table, a visualization, and/or an interactive user interface.