Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
R Mathumitha, P Rathika, K Manimala - Artificial Intelligence Review, 2024 - Springer
Urbanization increases electricity demand due to population growth and economic activity.
To meet consumer's demands at all times, it is necessary to predict the future building …
To meet consumer's demands at all times, it is necessary to predict the future building …
Deep Learning-based Power Load Shedding Approach for Gaza's Electricity Grid
MT El Astal, A Alhabbash… - … on Environment and …, 2022 - ieeexplore.ieee.org
Many developing countries suffer from a chronic electricity deficit. As a particular case, this
shortage in electricity supplies in Gaza Strip undermines the already fragile conditions, and …
shortage in electricity supplies in Gaza Strip undermines the already fragile conditions, and …
A Review on Non-Intrusive Load Monitoring Using Deep Learning
Smart energy management systems have become more popular as the consumption of
energy is increasing rapidly. So, in order to monitor the daily energy consumptions in real …
energy is increasing rapidly. So, in order to monitor the daily energy consumptions in real …