Ship Performance Management and the added value of a Ship Performance Monitoring System: A Spliethoff Group Case

Harsh market conditions make optimising the performance in shipping more and more important. Shipping companies are becoming more and more data driven due to developments in data systems and these harsh market conditions. The goal of this research is to determine how and how much added value can be realised through shipping performance...

Towards more effective residential retrofit interventions: Exploring an alternative monitoring approach to drive the effectiveness of residential energy efficiency retrofit interventions

Humanity is facing large scale environmental challenges emerging from the anthropogenic climate change. Greenhouse gas emissions (GHG) are widely considered to be the main driver of the changing climate. With the built environment currently being accountable for about 40% for our total GHG emissions there is a great urgency to act and change our...

Smart Home Energy Efficiency: Application of machine learning on smart meter power data to improve efficient electric energy usage in households

Nonintrusive Load Monitoring (NILM) can be used to disaggregate household energy<br/>usage collected from a central meter to the level of individual appliances, but has so far mostly been applied in controlled, small-scale settings. Further potential such as the application for energy efficiency classification and management have remained...