Since missing values in multivariate time series data are inevitable, many researchers have
come up with methods to deal with the missing data. These include case deletion methods …

One of information needed in weather forecast is air temperature. This value might change
any time. Prediction of air temperature is very valuable for some communities and …

Accurate short-term load forecasting for the district heating network (DHN) is vital for energy
companies to develop a stable and dependable generation capacity. Many machine …

Solar and wind are now the fastest-growing power generation resources, being ecologically
benign and economical. Solar and wind forecasts are significantly noteworthy for their …

This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …

International Journal of Systems Science (IJSS) is an international journal in the fields of
Automation & Control Systems, Computer Science, and Operations Research & …

The objective of this study was to evaluate the trend of reported case fatality rate (rCFR) of
COVID-19 over time, using globally reported COVID-19 cases and mortality data. We …

As a vital infrastructure in modern cities, district heating (DH) systems provide stable high-
quality heat sources. To satisfy the demands of energy-saving, emission-reduction policies …

Accurate load forecasting of the district heating network (DHN) is essential to guarantee
effective energy production, distribution, and rational utilization. An improved Facebook …

Data imputation and forecasting are the major research areas in environmental data
engineering. Solving those critical issues has an immense impact on air pollution …