… To this end, this paper examines smart metering and non-intrusive load monitoring (NILM)
to … Therefore, a better energy demand prediction model can be achieved using the usage …

… By optimizing energy consumption at the household level, … -making tool to predict near-optimal
actions for ESs and EV … to examine the optimal plan for the household while the HEMS …

… city smart and sustainable with efficient energy consumption, … in which energy consumption
is evaluated using optimized NARX-… to predict the rate of electricity consumption across smart …

… techniques used in smart cities for energy forecasting. These … the optimal RESS capabilities
based on the building’s usage … up possibilities for dialogue on smart city energy use and, by …

… rates or incentives, and conducts optimal load scheduling to minimize electricity
consumption. Through forecasting based on the currently measured data, the management and …

… energy demand prediction models to improve their predictive accuracy. Data from IoT enabled
home … and planning stage for optimal design of smart energy systems given the current …

… However, this study addressed the energy consumption … the important part of an ideal concept
of a smart city as the utopia of … for predicting the building states for a forecast horizon and …

… show that IoT sensors to detect energy consumption, predict the energy demand in smart …
Efficient and decentralized urban supplies and the optimal utilization of local energy help lower …

… prediction of energy usage for the upcoming decades shows that there is a huge demand for
energy consumption and therefore energy … represent the energy consumption for residential …

… a framework for energy consumption forecasting that exploits … energy consumption data to
create a generalized model that … However, we obtained the best results by utilizing the Relu …