SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting ethanol demand in India to meet future blending targets: A comparison of ARIMA and various regression models
4 references·3 citing·30 second hop
Forecasting ethanol demand in India to meet future blending targets: A comparison of ARIMA and various regression models (2022)Forecasting ethanol demand in India to me…Agricultural product price forecasting methods: research advances and trend (2020)Agricultural product price fo…ARIMA forecasting of China’s coal consumption, price and investment by 2030 (2018)ARIMA forecasting of China’s …Forecasting Natural Gas Production Using Various Regression Models (2015)Forecasting Natural Gas Produ…ARIMA forecasting of primary energy demand by fuel in Turkey (2006)ARIMA forecasting of primary …Deep Learning for Demand Forecasting: A Framework Incorporating Variational Mode Decomposition and Attention Mechanism (2025)Deep Learning for Demand Fore…A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)A novel attLSTM framework com…Integration models of demand forecasting and inventory control for coconut sugar using the ARIMA and EOQ modification methods (2023)Integration models of demand …Forecasting of CO2 emissions from fuel combustion using trend analysis (2010)Illusions in regression analysis (2012)Regression Models for Forecasting Global Oil Production (2015)Evaluating the impact of information and communication technology on renewable energy consumption: A spatial econometric approach (2022)Evaluation of energy efficiency of wastewater treatment plants: The influence of the technology and aging factors (2022)Book Review: Time Series Analysis: Forecasting and Control (1977)Energy consumption and GDP: causality relationship in G-7 countries and emerging markets (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables (2010)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Forecasting electricity consumption in New Zealand using economic and demographic variables (2004)Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization (2016)Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data (2018)A MFO-based conformable fractional nonhomogeneous grey Bernoulli model for natural gas production and consumption forecasting (2020)Thermal coal price forecasting via the neural network (2022)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level (2023)Wholesale Food Price Index Forecasts with the Neural Network (2023)Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Forecasting of demand using ARIMA model (2018)An application of preservation technology in inventory control system with price dependent demand and partial backlogging (2020)Inventory – forecasting: Mind the gap (2021)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Forecasting: theory and practice (2022)A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction (2025)A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions (2020)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)
this work references cited by second hop

References

  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey626 cited
  • 2015Forecasting Natural Gas Production Using Various Regression Models103 cited
  • 2020Agricultural product price forecasting methods: research advances and trend84 cited
  • 2018ARIMA forecasting of China’s coal consumption, price and investment by 203083 cited

Cited by

  • 2024A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting44 cited
  • 2025Deep Learning for Demand Forecasting: A Framework Incorporating Variational Mode Decomposition and Attention Mechanism30 cited
  • 2023Integration models of demand forecasting and inventory control for coconut sugar using the ARIMA and EOQ modification methods10 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work