Electricity price forecasting proves useful for power producers and consumers to make
proper decisions in a market-oriented environment. However, due to the complex drivers …

Short-term traffic flow forecasting is a key step to achieve the performance of intelligent
transportation system (ITS). Timely and accurate traffic information prediction is also the …

Given its simplicity of modeling and sensitivity to condition variations, time series model is
widely used in feature extraction to realize fault classification and diagnosis. However …

Multivariate time-series (MTS) forecasting plays a crucial role in various real-world
applications, but the complex dependencies between time-series variables (ie, inter-series …

Purpose The variance between the winning bid and the owner's estimated cost (OEC) is one
of the construction management risks in the pre-tendering phase. The study aims to …

Long-term monitoring is an important topic in assessing the safety and service life of
Concrete Dams. Historical data models allow predictions of future behavior of these …

Displacement is the most intuitive reflection of the comprehensive behavior of concrete
dams, especially the time effect displacement, which is a key index for the evaluation of the …

Time-series prediction plays a critical role in realizing industrial automation. However, due to
the non-linear, non-stationary and skew distribution of time series, many existing time series …

Surely, electricity market participants need an accurate estimate for the price and load
signals to properly manage their programs to increase their profits. Regarding the two-way …

Prediction of Land use and cover change using remotely sensed imagery has attracted huge
attention. From several decades, multiple researchers have investigated different …