Combined forecasting tool for renewable energy management in sustainable supply chains
Y Sun, J Ding, Z Liu, J Wang - Computers & Industrial Engineering, 2023 - Elsevier
Effective managing sustainable supply chain is on the most cutting-edge position of various
organizations in the process of delivering products. There are many optimization …
organizations in the process of delivering products. There are many optimization …
Combined interval prediction algorithm based on optimal relevancy, redundancy and synergy
J Gao, J Wang, D Wei, H Jiang - Applied Mathematical Modelling, 2023 - Elsevier
Traditional point prediction approaches can not reflect the uncertainty, which brings greater
risks to decision-makers. To fill this gap, this paper extends a feature selection strategy that …
risks to decision-makers. To fill this gap, this paper extends a feature selection strategy that …
Forecasting the electric power load based on a novel prediction model coupled with accumulative time-delay effects and periodic fluctuation characteristics
J Wang, W Huang, Y Ding, Y Dang, Y Li - Energy, 2025 - Elsevier
The electric power load forecasting has important theoretical and practical significances for
balancing electric power supply. To produce the precise values of the future electric power …
balancing electric power supply. To produce the precise values of the future electric power …
An IDE-based nonlinear grey Bernoulli model and applications to daily traffic flow pattern identification
The nonlinear grey Bernoulli model is a powerful tool for modelling and forecasting time
series exhibiting a rough inverted U-shape behaviour. Traditionally, it is considered an …
series exhibiting a rough inverted U-shape behaviour. Traditionally, it is considered an …
Seasonal waste, geotherm, nuclear, wood net power generations forecasting using a novel hybrid grey model with seasonally buffered and time-varying effect
Seasonal volatility data is often disturbed by uncertain external shocks, making accurate
forecasting particularly strenuous. This paper proposes a progressive adaptive prediction …
forecasting particularly strenuous. This paper proposes a progressive adaptive prediction …
Water–carbon–economy multivariate spatial–temporal collaborative relationships and nonlinear projections in urban agglomerations
P Yan, L He, T Sun, Y Chen, Y Zhang, Z Li, M He… - Journal of …, 2024 - Elsevier
A complex dynamic coupling process exists among water resource consumption, carbon
emissions, and economic growth; however, their intricate collaborative mechanisms remain …
emissions, and economic growth; however, their intricate collaborative mechanisms remain …
Bottom-up discrete systematic modelling for analysis and prediction of future trends for land-sea environmental pollution systems
Addressing the challenge of marine environmental pollution requires accurate forecasting
systems, yet current methods relying on artificial intelligence and big data face limitations …
systems, yet current methods relying on artificial intelligence and big data face limitations …