Wind speed forecasting (WSF) accuracy is vital for exploiting renewable and environment-
friendly wind energy. Therefore, a hybrid WSF model, namely VIL (VMD-ICEEMDAN-LSTM) …

Wind prediction has consistently been in the spotlight as a crucial element in achieving
efficient wind power generation and reducing operational costs. In recent years, with the …

Wind speed forecasting is becoming increasingly crucial for an environmentally friendly and
sustainable economy because of the renewability and benefits of wind energy. Currently …

With the development of wind power which is the great substitute for traditional energy, it is
worth conducting an in-depth exploration of the hourly wind speed time series which is …

Sustainable energy resources have proved to be the best alternative in the wake of
environmental degradation, depletion of ozone layer and ever-increasing demand for …

Purpose Effectively predicting research and development project portfolio benefit (R&D
PPB) could assist organizations in monitoring the execution of research and development …

This paper proposes AdaBoost-IWOA-Elman algorithm to predict the stock closing price
based on network public opinion. Firstly, stock opinion data obtained by Python Spyder is …

To better address and improve the issues related to DC power quality, this paper proposes
an identification method tailored for DC power quality disturbances. First, it explores the …

Water shortage is a major problem facing the world. Artificial precipitation enhancement is
an effective way to improve precipitation conversion rate, but the selection of artificial …

Gale is a kind of disaster weather, and the forecast of wind speed is a difficult point in
operational weather forecast. In this study, we propose a method to forecast the time series …