Minglu Ma

Predicting Coal Consumption in South Africa Based on Linear (Metabolic Grey Model), Nonlinear (Non-Linear Grey Model), and Combined (Metabolic Grey Model-Autoregressive Integrated Moving Average Model) Models

Rongrong Li, Min Su, Shuyu Li, 2018, Sustainability.

Short-term and long-term prediction of coal consumption in Shandong Province- with ARIMA Model and Metabolism GM (1, 1) Model

Y. Zhang, Yu Zhang, Minglu Ma, 2019, IOP Conference Series: Earth and Environmental Science.

Analysis of the impact of epidemic situation on total electricity consumption of the United States under the prediction scenario

Qiang Wang, Qiang Wang, Minglu Ma, 2022, IOP Conference Series: Earth and Environmental Science.

Assessment and Forecast of Green Total Factor Energy Efficiency in the Yellow River Basin—A Perspective Distinguishing the Upper, Middle and Lower Stream

Qiang Wang, Minglu Ma, 2022, Sustainability.

Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model

Qiang Wang, Rongrong Li, Shuyu Li, 2018, Energy.

Prediction of the Energy Consumption Variation Trend in South Africa based on ARIMA, NGM and NGM-ARIMA Models

Zhuangzhuang Wang, Zhuangzhuang Wang, Minglu Ma, 2019, Energies.