Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …

State of charge (SOC) and state of health (SOH) estimation play a vital role in battery
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …

Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …

Outdoor thermal comfort (OTC) directly affects human behavior and building operations. It is
also a key factor in the achievement of smart living. When modeling OTC, existing studies …

Accurate prediction of photovoltaic power is of great significance to the safe operation of
power grids. In order to improve the prediction accuracy, a similar day clustering …

Although traditional physical models have been used to analyse groundwater systems, the
emergence of novel machine learning models can improve the accuracy of the predictions …

The rapid advancements in artificial intelligence (AI), including machine learning (ML), and
deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare …

In this research, a new strategy is introduced for the development of robust, efficient and
reliable deep learning time-series models, which is based on a sophisticated algorithmic …

In order to reduce unnecessary data transmissions from Internet of Things (IoT) sensors, this
article proposes a multivariate-time-series-prediction-based adaptive data transmission …

Abstract Numerical Weather Prediction (NWP), which provides approximate weather
information in the next few days, is an essential feature in wind power forecasting (WPF) …