Explainable district heating load forecasting by means of a reservoir computing deep learning architecture

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134641 - 134641

Published: Jan. 1, 2025

Language: Английский

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Assessing the nonlinear relationship between consumer goods and water pollution in different seasons with machine learning models: A case study in the Yangtze River Economic Belt

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 444, P. 141254 - 141254

Published: Feb. 14, 2024

Language: Английский

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Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 13, 2025

The construction of accurate and interpretable predictive model for high abundance fishing ground is conducive to better sustainable fisheries production carbon reduction. This article used refined statistical maps visualize the spatial temporal patterns catch changes based on 2014-2021 fishery statistics Japanese sardine Sardinops melanostictus in Northwest Pacific Ocean. Three models (XGBoost, LightGBM, CatBoost) two variable importance visualization methods (model built-in (split) SHAP methods) were comparative analysis determine optimal modeling strategies. Results: 1) From 2014 2021, annual showed an overall increasing trend peaked at 220,009.063 tons 2021; total monthly increased then decreased, with a peak 76, 033.4944 (July), was mainly concentrated regions 39.5°-43°N 146.75°-155.75°E; 2) Catboost predicted than LightGBM XGBoost models, highest values accuracy F1-score, 73.8% 75.31%, respectively; 3) ranking model’s method differed significantly from that method, variables increased. Compared informs magnitude direction influence each global local levels. results research help us select construct prediction grounds Ocean, which will provide scientific basis achieve environmental economically development.

Language: Английский

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A high-precision and transparent step-wise diagnostic framework for hot-rolled strip crown

Journal of Manufacturing Systems, Journal Year: 2023, Volume and Issue: 71, P. 144 - 157

Published: Sept. 19, 2023

Language: Английский

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Forecasting China’s total renewable energy capacity using a novel dynamic fractional order discrete grey model

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 239, P. 122019 - 122019

Published: Nov. 7, 2023

Language: Английский

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Modal decomposition integrated model for ultra-supercritical coal-fired power plant reheater tube temperature multi-step prediction

Energy, Journal Year: 2024, Volume and Issue: 292, P. 130521 - 130521

Published: Jan. 31, 2024

Language: Английский

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Forecasting China’s renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model

Renewable Energy, Journal Year: 2024, Volume and Issue: 233, P. 121125 - 121125

Published: Aug. 6, 2024

Language: Английский

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Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 119, P. 109631 - 109631

Published: Sept. 3, 2024

Language: Английский

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Predicting hourly heating load in district heating system based on the hybrid Bi-directional long short-term memory and temporal convolutional network model

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 463, P. 142769 - 142769

Published: June 3, 2024

Language: Английский

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Novel shape control system of hot-rolled strip based on machine learning fused mechanism model

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124789 - 124789

Published: July 14, 2024

Language: Английский

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