… In this paper, we use the individual household electric power consumption dataset provided
by UCI [15]. This data is a set of data for one generation of power consumption with a one-…

… study is to lower the energy consumption of HVAC systems. … are used to analyze the energy
usage and multi-objective … and Wi-Fi energy efficiency networks in the home automation …

… a hybrid deep learning forecasting framework that combines multiple LSTM neural networks
… and univariate individual household energy consumption forecasting problem. The original …

… methods and non-deep neural networks, to provide accurate prediction for single …
household power consumption forecasting problem, we combine LSTM and CNN to form a hybrid …

… consider mathematical deep models in the domain of energy consumption and generation.
… as well as household and commercial buildings’ PC, we use a hybrid network that combines …

… energy consumption of the access and transport networks, and on the other hand, from the
terminal owners’ perspective, energy-… in terms of energy consumption because they usually …

… They provide house templates developed on high order RC networks which meet various
standards such as ASHRAE 90.1. However, huge efforts are required to manually calibrate the …

… Novel Hybrid DL Model demand-side response is to predict the household energy consumption
with … Their results concluded that Elman neural networks perform better in dynamic load …

… In this paper, fuel cell based hybrid power supply for household … household appliances
limiting hydrogen storage related issues. Power consumption profile requirements of household …

… proposals and initiatives have targeted ways of reducing energy consumption and using
energy in a more efficient way for mobile networks. These research initiatives have been called …