Explore MATLAB source code curated for "预测" with clean implementations, documentation, and examples.
This dataset comprises one year of measured wind speed data from a wind farm, supplemented with wind speed and power output predictions and modeling simulations. The implementation involves time-series analysis algorithms and power curve modeling techniques for accurate forecasting.
ARMA time series model for wind power forecasting in wind farms, featuring MATLAB source code implementation with case study analysis
Comprehensive guide to ARMA time series modeling, forecasting, model validation, and interpretation with code implementation insights
Implementation of ARIMA models in MATLAB for analyzing and forecasting time series data with code examples and algorithm explanations
ARIMA traffic flow prediction program utilizing permutation-based data analysis for time series forecasting
This MATLAB implementation of autoregressive time series forecasting for short-term electricity load has been successfully deployed in practical engineering applications. The algorithm provides high-precision predictions using time-lagged load variables and statistical modeling techniques.
Markov Chain Method for Stock Prediction: Building predictive models for the Shanghai Composite Index using Chinese stock market historical data, with model validation and stock index forecasting (stock index refers to stock price index). Implementation includes state transition probability matrix calculation and predictive analytics.
Utilization of ARMA methodology for wind speed prediction, converting measured wind speed data into forecasted values through time series analysis and model fitting techniques
The logistic and Malthusian models serve as essential tools for forecasting exponentially growing datasets such as population trends. Developed by demographers, these models enable predictions of unknown quantities and validation of results obtained from other analytical frameworks. With practical code implementations for parameter estimation and growth simulation, they provide both theoretical insights and computational approaches for demographic analysis.
Gray prediction model MATLAB program for time series forecasting with algorithm explanation and key function descriptions.