Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

In a business environment with strict competition among firms, accurate demand forecasting
is not straightforward. In this paper, a forecasting method is proposed, which has a strong …

A key to the analysis and design of a dynamic system is to establish a suitable mathematical
model of the system. This paper investigates the parameter optimization problem of a class …

Accurate time series forecasting has been recognized as an essential task in many
application domains. Real-world time series data often consist of non-linear patterns with …

A low power wireless sensor network based on LoRaWAN protocol was designed with a
focus on the IoT low-cost Precision Agriculture applications, such as greenhouse sensing …

Accurate energy consumption prediction models can bring tremendous benefits to building
energy efficiency, where the use of data-driven models allows models to be trained based …

Featured Application The described approaches can be used in various applications in the
field of quantitative finance from HFT trading systems to financial portfolio allocation and …

In the past decade, deep learning models have shown to be promising tools for time series
forecasting. However, owing to significant differences in the volatility characteristics among …

The development of accurate forecasting systems can be challenging in real-world
applications. The modeling of real-world time series is a particularly difficult task because …

Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …