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Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India
8 references·1 citing·46 second hop
Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India (2021)Multiple forecasting approach: a predicti…Asymmetric causality among carbon emission from agriculture, energy consumption, fertilizer, and cereal food production – A nonlinear analysis for Pakistan (2021)Asymmetric causality among ca…Initialization Methods for Multiple Seasonal Holt–Winters Forecasting Models (2020)Initialization Methods for Mu…The influencing factors of CO2 emission intensity of Chinese agriculture from 1997 to 2014 (2018)The influencing factors of CO…Modeling and Forecasting of Carbon Dioxide Emissions in Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Models (2017)Modeling and Forecasting of C…Prediction of GDP growth rate based on carbon dioxide (CO2) emissions (2016)Prediction of GDP growth rate…Carbon dioxide emission prediction using support vector machine (2016)Carbon dioxide emission predi…A new metric of absolute percentage error for intermittent demand forecasts (2016)A new metric of absolute perc…Grey forecasting model for CO2 emissions: A Taiwan study (2011)Grey forecasting model for CO…Application of various machine learning algorithms in view of predicting the CO 2 emissions in the transportation sector (2024)Application of various machin…Control problems of grey systems (1982)Industrial and business forecasting methods (1982)Introduction to Grey system theory (1989)Grey system model with the fractional order accumulation (2012)Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model (2014)Modelling carbon emission intensity: Application of artificial neural network (2019)Forecasting methods and applications (1993)Another look at measures of forecast accuracy (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Financial time series forecasting using support vector machines (2003)Effects of Green Manufacturing and Eco-innovation on Sustainability Performance (2013)A Review on Green Manufacturing: It's Important, Methodology and its Application (2014)A novel approach to predict CO2 emission in the agriculture sector of Iran based on Inclusive Multiple Model (2020)Predicting CO2 Emission Footprint Using AI through Machine Learning (2022)Forecasting and mitigation of global environmental carbon dioxide emission using machine learning techniques (2023)Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries (2010)Causal interactions between CO2 emissions, FDI, and economic growth: Evidence from dynamic simultaneous-equation models (2014)CO2 emissions, energy consumption, economic and population growth in Malaysia (2014)Does environmental regulation affect CO2 emissions? 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this work references cited by second hop

References

  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,183 cited
  • 2011Grey forecasting model for CO2 emissions: A Taiwan study178 cited
  • 2021Asymmetric causality among carbon emission from agriculture, energy consumption, fertilizer, and cereal food production – A nonlinear analysis for Pakistan146 cited
  • 2016Carbon dioxide emission prediction using support vector machine100 cited
  • 2016Prediction of GDP growth rate based on carbon dioxide (CO2) emissions98 cited
  • 2018The influencing factors of CO2 emission intensity of Chinese agriculture from 1997 to 201492 cited
  • 2017Modeling and Forecasting of Carbon Dioxide Emissions in Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Models62 cited
  • 2020Initialization Methods for Multiple Seasonal Holt–Winters Forecasting Models60 cited

Cited by

  • 2024Application of various machine learning algorithms in view of predicting the CO 2 emissions in the transportation sector47 cited

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