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Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period.
Movable yro life predicting method based on gray mode
InactiveCN1587989ASimple methodEasy to implementUsing mechanical meansMaterial analysisGyroscopeLife time
The invention relates to a dynamic adjust gyroscope life forecasting method based on gray model. By data collection of vibration effective value, random drift and environmental temperature parameter which are preprocessed using radial neural networks, influence of environmental temperature on vibration effective value and random drift is eliminated and random drift and effective value just related to time are obtained by subtracting drift constant value term, then trend term of vibration effective value and random drift are extracted by using wavelet transformation and gray model are built separately for their trend term. The smaller data in two values of life predicted of dynamic adjust gyroscope unless two predicted values exceeding performance parameter limitation when dynamic adjust gyroscope is considered losing effect. The invention uses performance parameter of life probative period of product to predict its life, showing discipline of performance parameter and life of dynamic adjust gyroscope. It is easy and convenient economical and reliable.
Owner:SHANGHAI JIAO TONG UNIV
Base station energy saving method and device based on service prediction
This invention provides a base station energy-saving method and apparatus based on service forecasting. The method includes: inputting real-time service load forecast data, real-time network status data, and real-time environmental data of the target base station into a decision model to obtain an energy-saving adjustment strategy output by the decision model; the decision model is obtained through reinforcement learning training based on a state space, action space, and reward function; the state space is constructed based on historical service load forecast data, historical network status data, and historical environmental data; the action space is constructed based on adjustable antenna parameters, adjustable carrier parameters, and adjustable computing power parameters; the reward function is constructed based on energy-saving benefit information and user experience information; and the energy consumption of the target base station is adjusted based on the energy-saving adjustment strategy. This method deeply integrates forecasting, multi-dimensional collaboration, and intelligent decision-making, enabling the generation of refined adjustment strategies based on dynamically changing service characteristics, thus improving the refined energy-saving control process of the base station.
Owner:INSPUR TIANYUAN COMM INFORMATION SYST CO LTD