Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …

Energy is a crucial basis for ensuring people's life quality and advancing social and
economic development. Whereas, the crude oil futures prices are influenced by several …

The success of ensemble forecasting heavily depends on the selection and combination of
component models as proven by numerous studies that show the superior performance of …

Wind energy is a widely utilized form of clean energy with significant implications for
maximizing its utilization and ensuring the stability of power systems. However, existing …

Timely and accurate assessment of key sewage quality indicators based on deep learning
models has attracted much attention for intelligent wastewater treatment. Decomposition …

Accurate time series forecasting is crucial, particularly in real-world application areas such
as demand forecasting. The Prophet model successfully predicts time series containing well …

This research proposes a novel predictive model to improve the gas prediction accuracy in
transformer oil and provide guarantees for accident prevention. First, this study constructs a …

Time series is mostly with a chaotic nature and non-stationary characteristic in real-word,
which makes it difficult to be modeled and predicted accurately. To solve this problem, we …

Precipitation due to its complex nature requires a comprehensive model for forecasting
purposes and the efficiency of improved ARIMA (IARIMA) forecasts has been proved relative …

Public health emergencies have brought great challenges to the stability of the e-commerce
supply chain. Demand forecasting is a key driver for the sound development of e-commerce …