Novel predictors for waste generation evolution: a mathematical approach: could a math model answer the waste generation?

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 28, 2025

Language: Английский

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Time-Series Forecasting of Large-Scale Green Ammonia Production: An Intelligent Dynamic Modeling Case in the Inner Mongolia Area of China

Industrial & Engineering Chemistry Research, Journal Year: 2024, Volume and Issue: 63(28), P. 12526 - 12546

Published: July 8, 2024

Renewable energy sources have been viewed as an important approach to solve the crisis and are carbon neutral. Compared with other storage mediums, green ammonia has highest total efficiency is raw material in chemical industry. The fluctuation of renewable a huge challenge for production; thus, high-precision prediction model required enable building advanced control system production. In this study, transformer-based multivariable multistep time-series that includes temporal scales feature energy, called MSPTST, proposed first step problem unstable outperformed state-of-the-art models, its R2 values were 0.986, 0.9998, 0.990 under high load condition, low natural respectively. Stable operation swift transitions facilitated through predictive based on MSPTST framework. impact fluctuations synthesis addressed by further integrating theory algorithms.

Language: Английский

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Planning and building digital twins for smart cities

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 205 - 225

Published: Nov. 1, 2024

Language: Английский

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A Waste Extended Input-Output-based Transformer-LSTM method for analyzing hazardous waste reduction patterns: A case study of Shanghai

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 458, P. 142435 - 142435

Published: May 8, 2024

Language: Английский

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