… and statistical modellings and Machinelearning (ML). The engineering methodologies employ physical laws for the derivation of building energyconsumption in whole or sub-system …
… of machinelearning models, and use as much of the CBECS data as possible with the objective of creating a general model for estimating commercial building energyconsumption. …
… of the prediction models used for energyconsumption. Such models highly improve the … the art of machinelearning models used in the general application of energyconsumption. …
… explanation on energy and power consumption for the machinelearning audience. We … , time, and energy, and specific clarifications on how software programs consume energy. …
Z Liu, D Wu, Y Liu, Z Han, L Lun… - Energy Exploration …, 2019 - journals.sagepub.com
… to be solved urgently of machinelearning are presented. This paper aims to review the approaches to estimate the building energyconsumption through machinelearning method, and …
… RF model for predicting energyconsumption in various buildings. In addition, the 1-step-ahead, 12-steps-ahead, and 24-steps-ahead energyconsumption in buildings were predicted in …
… energyconsumption prediction using machinelearning techniques, based on the energy consumption … 1-day-ahead forecasting of energyconsumption for end-users and managers in …
PW Khan, Y Kim, YC Byun, SJ Lee - Energies, 2021 - mdpi.com
… [10] analyze the factors influencing energyconsumption in the context of sustainable … machinelearning-based energyconsumption prediction by utilizing the actual energyconsumption …
A Alzoubi - International Journal of Computations, Information …, 2022 - journals.gaftim.com
… in applications like as asset management, energyefficient automating, safety, and healthcare … Energyconsumption optimization is being tackled with the use of an energy management …