Chinese Energy Requirement Forecasting

Preliminary Evaluation for Vacuum Membrane Distillation (VMD) Energy Requirement

The energy requirement of vacuum membrane distillation (VMD) with or without recirculation was modelled using both experimental results and theoretical data. The trends are generally consistent between the theoretical and experimental data. Thermal energy contributes the most to the total energy required for the VMD process. To lower the thermal energy cost, waste heat resource and heat recover...

Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network

The forecasting of energy consumption in China is a key requirement for achieving national energy security and energy planning. In this study, multi-variable linear regression (MLR) and support vector regression (SVR) were utilized with a gated recurrent unit (GRU) artificial neural network of Chinese energy to establish a forecasting model. The derived model was validated through four economic...

Modeling for Energy Demand Forecasting

• Traditional approaches, including Box–Jenkins autoregressive integrated moving average (ARIMA) model, autoregressive and moving average with exogenous variables (ARMAX) model, seasonal autoregressive integrated moving average (SARIMA) model, exponential smoothing models [including Holt–Winters model (HW) and seasonal Holt and Winters’ linear exponential smoothing (SHW)], state space/Kalman fi...

Automation of Energy Demand Forecasting

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand forecasting saves time and effort by searching automatically for an appropriate model in a candidate model space without manual intervention. This thesis introduces a search-based approach that improves the performance of the model searching process for econometrics models. Furth...

International Journal of Forecasting Special Issue on Energy Forecasting Introduction