With the growth of forecasting models, energy forecasting is used for better planning,
operation, and management in the electric grid. It is important to improve the accuracy of …

Estimation of Newmark sliding displacement plays an important role for evaluating seismic
stability of slopes. Current empirical models generally utilize predefined functional forms and …

The Coronavirus Disease 2019 (COVID-19) is wreaking havoc around the world, bring out
that the enormous pressure on national health and medical staff systems. One of the most …

The need for an efficient power source for operating the modern industry has been rapidly
increasing in the past years. Therefore, the latest renewable power sources are difficult to be …

This paper presents a short-term wind power forecasting model for the next day based on
historical marine weather and corresponding wind power output data. Due the large amount …

As wind and photovoltaic energy become more prevalent, the optimization of power systems
is becoming increasingly crucial. The current state of research in renewable generation and …

Convective initiation (CI) nowcasting over China has a problem of a high false-alarm rate
(FAR) due to the local convective processes, most of which do not produce severe weather …

Unmanned Aerial Vehicles (UAVs) are widely used and meet many demands in military and
civilian fields. With the continuous enrichment and extensive expansion of application …

Accurate air pollutant concentrations prediction allows effective environment management to
reduce the impact of pollution. The encoder-decoder model based on long short-term …

Numerous empirical equations and machine learning (ML) techniques have emerged to
forecast dispersion coefficients in open channels. However, the efficacy of certain learning …