Machine Learning-Assisted Analysis of Energy Consumption Profiles and Efficiency in Uilenstede Campus Buildings: An Analysis of User Energy Profile Patterns and Clustering of Uilenstede Campus Energy Consumption Data

The study of energy consumption across various building clusters offers a path to discerning intricate patterns and establishing energy efficiency metrics. However, these analyses have mostly been limited to small, controlled settings, leaving a vast potential for broader application in energy efficiency management and classification untapped....

Understanding thermal comfort and heating energy use in Dutch dwellings: Analysis of smart meter data, indoor climate and comfort in 78 Dutch dwellings

According to the European Commission, buildings are responsible for approximately 40% of the EU energy consumption and 36% of the CO2 emissions, resulting in the largest energy consumer in Europe. Especially, the reduction of energy consumption for heating of residential dwellings has gained more and more interest in the last decades. Although...

Loads of lifestyles: A latent lifestyle model for interpreting and simulating electrical energy consumption

The rapid and uncertain penetration of distributed energy resources is changing the way people are consuming electricity. This development increases the risk of instability and congestion in the grid, posing great challenges to system operators in the near future. In order to optimally allocate resources and plan grid enhancement, distribution...