Search
Now showing items 1-3 of 3
High-accuracy facial depth models derived from 3D synthetic data
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
In this paper, we explore how synthetically generated 3D face models can be used to construct a high-accuracy ground truth for depth. This allows us to train the Convolutional Neural Networks (CNN) to solve facial depth ...
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
(Elsevier, 2021-09-11)
Domestic hot water accounts for approximately 15% of the total residential energy consumption in Europe, and most of this usage happens during specific periods of the day, resulting in undesirable peak loads. The increase ...
Deep reinforcement learning for home energy management system control
(Elsevier, 2021-12-26)
The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant ...