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Forecast of electricity consumption in the Cameroonian residential sector by Grey and vector autoregressive models

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References

2016Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model393 cited
2018Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL337 cited
2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors280 cited
2018Forecasting China's electricity consumption using a new grey prediction model263 cited
2017Africa energy future: Alternative scenarios and their implications for sustainable development strategies238 cited
2019Energy security, electricity, population and economic growth: The case of a developing South Asian resource-rich economy169 cited
2016Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China151 cited
2019A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers78 cited

Cited by

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2022Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model33 cited
2023Forecasting clean energy power generation in China based on a novel fractional discrete grey model with a dynamic time-delay function32 cited

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2021UFNGBM (1,1): A novel unbiased fractional grey Bernoulli model with Whale Optimization Algorithm and its application to electricity consumption forecasting in China31 cited

2024A grey prediction model optimized by meta-heuristic algorithms and its application in forecasting carbon emissions from road fuel combustion30 cited

2022Forecasting clean energy generation volume in China with a novel fractional Time-Delay polynomial discrete grey model28 cited