… different scenarios is required for energy consumption model calibration, training … energy
consumption model calibration and speed profile generation. The vehicle energy consumption …

… regression, ACF, and preprocessing and post processing methods for forecasting electricity
consumption… preprocessing and post processing on the fuzzy regression. Another unique …

… Data pre-processing In this study, data pre-processing has been applied in order to deal
with inconsistencies in the collected dataset. Data min-max normalization is performed to scale …

… beyond the system boundaries, such as for processing after … a certain pattern of energy
consumption in wheat production. It … energy coefficients for the calculation of energy consumption…

… They provide energy for both residential and commercial sectors. As a result, assessing
building energy usage is a critical step in optimizing building energy consumption. The impact of …

… consumes a considerable amount of energy. Hence, the aim of this study is to develop an
intelligent predictive model for energy consumption in … i3–3120 M, processor 2.50 GHz speed, …

… after further processing to develop an energy prediction model for … used to compute the
prediction of energy consumption for / … We assume that the energy consumption is measured with …

… Since we processed the energy consumption data as a time series, we should reshape the
series to a format that LSTM could process. We tried to use 5-year data to predict for the 6th …

… data pre-processing using the linear … energy consumption as the outputs, and the occupancy
schedule and the meteorological parameters as the inputs. A Gaussian process regression …

… Energy consumption issues are important factors concerning … on energy security, particularly
for China whose energy … for the volatility changes in energy consumption can provide …