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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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Analysis and prediction of CO2 emissions from commercial energy consumption and emission reduction potential of renewable energy in China
Based on the relevant data from 2001 to 2019, an internationally agreed methodology for calculating CO 2 emissions developed by Intergovernmental...
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Water consumption prediction and influencing factor analysis based on PCA-BP neural network in karst regions: a case study of Guizhou Province
Water consumption prediction is an integral part of water resource planning and management. Constructing a highly precise water consumption...
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A new multivariate grey prediction model for forecasting China’s regional energy consumption
Predicting energy consumption is an essential part of energy planning and management. The reliable prediction of regional energy consumption is...
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A novel grey power-Markov model for the prediction of China’s electricity consumption
Forecasting the electricity consumption has always played an important role in the management of power system management, which requires higher...
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Prediction of Industrial Water Consumption - Blue Water Footprint in Kuantan River Basin
Industrial and agricultural sectors have been recognised as sectors attributed to the world most water consumption that may lead to the creation of... -
Evaluation indicators for road traffic energy consumption: a review and prospect
Indicators for evaluating road traffic energy consumption are critical parameters in the research field of road traffic energy consumption. Improving...
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Analysis and prediction of carbon emissions from food consumption of middle-income groups: evidence from Yangtze River Economic Belt in China
Food consumption has resulted in great carbon emissions in recent years. China has been facing the new mitigation challenge of carbon emissions with...
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Forecast of natural gas consumption in 30 regions of China under dual carbon target
Natural gas is an environmentally friendly and low-carbon clean energy. Its replacement of coal and other fossil energy sources will be important in...
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Sustainable EnergySense: a predictive machine learning framework for optimizing residential electricity consumption
In a world where electricity is often taken for granted, the surge in consumption poses significant challenges, including elevated CO2 emissions and...
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Prediction of per capita water consumption for 31 regions in China
Considering the shortage of per capita water resources in China, the paper established a fractional order accumulated grey prediction model...
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Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach
To develop a water conscious strategy, it is critical to track and trace water from its source to the end users, understand water conservation...
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Forecasting the renewable energy consumption of Australia by a novel grey model with conformable fractional opposite-direction accumulation
The accurate prediction of renewable energy consumption (REC) is of great significance to ensure energy security, reduce dependence on fossil energy,...
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Factors influencing energy consumption efficiency in greenhouse crop** systems
Given the constraints agricultural land, the use of agricultural greenhouses is suggested as a fundamental approach to ensure food provision;...
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Ecosystem-inspired model and artificial intelligence predicts pollutant consumption capacity by coagulation in drinking water treatment
Conventional methods for water and wastewater treatment are energy-intensive, notably at the stage of coagulation–flocculation, calling for new...
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How does air pollution affect household consumption? Evidence from China
Increasing air pollution not only affects the population’s health but also changes its consumption structures and patterns. Using China Family Panel...
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Industrial water consumption forecasting based on combined CEEMD-ARIMA model for Henan province, central chain: A case study
Industrial water consumption is a major component of the total regional water consumption. Accurate and scientific prediction of industrial water...
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Prospects of natural gas consumption in Pakistan: based on the LMDI-STIRPAT PLSR framework
The natural gas (NG) forms the sizeable portion of the primary energy consumption in Pakistan. However, its depleting domestic reserves and...
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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator
Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment...
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A novel compositional data model for predicting the energy consumption structures of Europe, Japan, and China
The analysis and prediction of the energy consumption structure provide an important basis for promoting the optimization of the energy consumption...