...Peixin Li; Yaoguo Dang Purpose For large-scale air pollution monitoring data, this study proposed an effective interval grey number approximation aggregation method for time series and designed hierarchical clustering algorithm to help develop air pollution control strategies. Design...

...Hossein Abbasimehr; Mostafa Shabani Purpose The purpose of this paper is to propose a new methodology that handles the issue of the dynamic behavior of customers over time. Design/methodology/approach A new methodology is presented based on time series clustering to extract dominant behavioral...

...Desheng Dash Wu; Dongxiao Niu; Ling Ji; Yongli Wang; Da Liu Purpose The purpose of this paper is to improve the accuracy of short time load forecasting to ensure the economical and safe operation of power systems. The traditional neural network applied in time series like load forecasting, easily...

...Achim Sydow; Yi Lin; Sifeng Liu; Roman DeNu; William Mennell One of the difficulties experienced in applications of exponential prediction models of time series is resolved by introducing sequence operators. This approach is different from all known modelings of time series and regression analysis...

... Quantitative Techniques Time Series ...