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An interval AQI combination prediction model based on multiple data decomposition and information aggregation operator
In this paper, an interval Air Quality Index (AQI) combination prediction model based on EEMD, VMD, and the weighted power average (WPA) operator is...
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Extended decomposition ensemble framework based on full data analysis and optimized combination with relaxed boundary for carbon price forecasting
The carbon price forecasting is a challenging and meaningful task which can help investors, manufacturers, and policymakers to make decisions. The...
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A new criteria for determining the best decomposition level and filter for wavelet-based data-driven forecasting frameworks- validating using three case studies on the CAMELS dataset
Recently, several papers have been published regarding the use of preprocessing models, such as Discrete Wavelet, in Data-Driven Forecasting...
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Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information
Accurate streamflow prediction is significant for water resources management. However, due to the impact of climate change and human activities,...
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A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning
Accurate carbon price forecasting is of great significance to the operation of carbon financial markets. However, limited by the non-linearity and...
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Litter Decomposition in Retreating Coastal Forests
Rising sea levels lead to the migration of salt marshes into coastal forests, thereby shifting both ecosystem composition and function. In this...
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An ensemble NLSTM-based model for PM2.5 concentrations prediction considering feature extraction and data decomposition
Fine particulate matter (PM2.5) is a hazardous air pollutant with an aerodynamic diameter of 2.5 μm or less, which can lead to severe health impacts...
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Quarterly electricity consumption prediction based on time series decomposition method and gray model
Accurately predicting electricity consumption is crucial for reducing power waste and maintaining power system stability. To address the non-linear...
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A hybrid multi-scale fusion paradigm for AQI prediction based on the secondary decomposition
With rapid industrialization and urbanization, air pollution has become an increasingly severe problem. As a key indicator of air quality, accurate...
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Carbon price prediction based on multiple decomposition and XGBoost algorithm
Carbon trading is an effective way to limit global carbon dioxide emissions. The carbon pricing mechanisms play an essential role in the decision of...
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Carbon–neutral hydrogen production by catalytic methane decomposition: a review
The global hydrogen demand is projected to increase from 70 million tons in 2019 to more than 200 million tons in 2030. Methane decomposition is a...
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Air quality prediction using a novel three-stage model based on time series decomposition
Air pollution control is one of the most important aspects of sustainable development in modern times, in which air quality prediction is the key in...
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A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit
Dissolved oxygen is one of the important comprehensive indicators of river water quality, which reflects the degree of pollution in the water body....
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Daily runoff prediction based on the adaptive fourier decomposition method and multiscale temporal convolutional network
The non-linearity and non-stationarity of runoff series pose significant challenges to runoff forecasting, and conventional single forecasting models...
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Microbial community coalescence and nitrogen cycling in simulated mortality decomposition hotspots
BackgroundThe pulsed introduction of dead plant and animal material into soils represents one of the primary mechanisms for returning organic carbon...
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Air pollutant concentration prediction based on a new hybrid model, feature selection, and secondary decomposition
The concentration of air pollutants is closely related to people’s production and life. Air quality prediction is the premise for environmental...
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A Kinetic Study on the Leaching of Scheelite Sulfuric Acid Decomposition Residue with Hydrogen Peroxide
The sulfuric acid decomposition method of scheelite can solve the problems existing in the traditional alkali (NaOH) method of tungsten smelting....
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MSTL-NNAR: a new hybrid model of machine learning and time series decomposition for wind speed forecasting
Wind speed forecasting is essential for various domains, such as renewable energy generation, aviation, agriculture, and disaster management....
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Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy
Accurate prediction of carbon emissions is vital to achieving carbon neutrality, which is one of the major goals of the global effort to protect the...
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Decomposition of Litterfall and Evaluation of Uranium Release and Secondary Contamination from Uranium Tailings Ponds
Pollution from uranium tailings ponds poses a severe threat to aquatic ecosystems. However, its effects on litterfall decomposition in aquatic...
