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

… 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, …

… demand, energy consumption and CO 2 emissions. As … clarifying how energy demand,
energy consumption and CO2 … for three of them (energy consumption, energy demand and CO2 …

… Due to the limited processing power of the model algorithm, redundant variable information
will affect the model performance, so a distance correlation coefficient matrix is introduced to …

… 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 …

… utilizes a Gaussian process regression with the help of a 12 × 12 grid search and prediction
processing to predict short-term hourly building HVAC system energy consumption by using …