Stock price prediction has always attracted interest because of the direct financial benefit
and the associated complexity. From our literature review, we felt the need of a study having …

Short-term time series wind power predictions are extremely essential for accurate and
efficient offshore wind energy evaluation and, in turn, benefit large wind farm operation and …

The increasing energy demand and expansion of power plants are provoking the effects of
greenhouse gas emissions and global warming. To mitigate these issues, renewable …

Abstract Recently Discrete Wavelet Transform (DWT) has led to a tremendous surge in many
domains of science and engineering. In this study, we present the advantage of DWT to …

This paper proposes the Discrete Wavelet Transform (DWT), Auto Regressive Integrated
Moving Averages (ARIMA) model and Recurrent Neural Network (RNN) based technique for …

Large-scale highway traffic forecasting approaches are critical for intelligent transportation
systems. Recently, deep-learning-based traffic forecasting methods have emerged as …

Abstract Integrated Energy System (IES) is able to collaborate various energy systems and
boost energy supply efficiency. To further facilitate the energy scheduling in IES, load …

The data mining and its tool has played a vital role in exploring the data from different ware
houses. Using data mining tools and analytical technologies we do a quantifiable amount of …

Stock market prediction is a very hot topic in financial world. Successful prediction of stock
market movement may promise high profits. However, an accurate prediction of stock …

Many investors in order to predict stock prices use various techniques like fundamental
analysis and technical analysis and sometimes rely on the discussions provided by various …