Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …

Initiatives to minimise battery use, address sustainability, and reduce regular maintenance
have driven the challenge to use alternative power sources to supply energy to devices …

Abstract Machine learning (ML) methods have become an important tool for modelling and
forecasting complex high-dimensional spatiotemporal datasets such as those found in …

The prediction accuracy of hourly air temperature is generally poor because of random
changes, long time series, and the nonlinear relationship between temperature and other …

Air quality indicators and air quality index (AQI) prediction are effective approaches for urban
decision-makers, planners, managers and even city residents to arrange their risk …

In particular, predicting the temperature and humidity information plays a crucial role in
plantation, estimating rainfalls and climate change, and predicting air quality via specified …

Buildings consume 74% of US electricity and 40% of primary energy use. However, 15% of
the energy was wasted due to bad controls. Many research studies have demonstrated that …

Taiwan is located in a hot and humid subtropical climate. Urban development, building heat
emissions, and human activities lead to the urban heat island (UHI) effect in which urban air …

Predicting the air temperature based on spatially accurate simulations is helpful to
agricultural production, commercial activities, air transportation, water transportation, power …

Gasification is a highly promising thermochemical process that shows considerable potential
for the efficient conversion of waste biomass into syngas. The assessment of the feasibility …