Identification of chaos in heating load time series and interval prediction

Analyses the chaotic properties of heating load time series, and obtains the correlation dimension of attractor and the largest Lyapunov exponent. Based on the largest Lyapunov exponent point prediction algorithm, presents a novel algorithm—largest Lyapunov exponent interval prediction algorithm, and provides the largest predicting time scale. Simulation results show that this method is with higher accuracy and more reliable prediction interval.