Forecasting the stock market price index is a challenging task. The exponential smoothing
model (ESM), autoregressive integrated moving average model (ARIMA), and the back …

This paper is concerned with the finite-time synchronization (FTS) issue of switched coupled
neural networks with discontinuous or continuous activations. Based on the framework of …

This paper is concerned with the short-term load forecasting (STLF) in power system
operations. It provides load prediction for generation scheduling and unit commitment …

In this paper, the distributed exponential consensus of stochastic delayed multi-agent
systems with nonlinear dynamics is investigated under asynchronous switching. The …

Finite-field networks (FFNs) are an effective type of models to characterize the multiagent
systems with limited computation, communication, and memory capabilities. In this article …

Electric load forecasting is crucial for managing electric power systems economically and
safely. This paper presents a new combined model for electric load forecasting based on the …

Short-term electricity demand forecasting has always been an essential instrument in power
system planning and operation by which an electric utility plans and dispatches loading so …

It is important to improve the accuracy of wind speed predictions for wind park management
and for conversion of wind power to electricity. However, due to the chaotic and intrinsic …

In this paper, synchronization control of switched linearly coupled delayed neural networks
is investigated by using the Lyapunov functional method, synchronization manifold and …

This paper studies the input-to-state stability (ISS) and the finite-time input-to-state stability
issues for the discrete-time stochastic switched nonlinear systems with time-varying delay …