142 citations · 281 across the 7 of their papers we have counts for
7 papers
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling
Brian Kunzer, Mario Berges, Artur Dubrawski
The concept of a digital twin has exploded in popularity over the past decade, yet confusion around its plurality of definitions, its novelty as a new technology, and its practical…
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings
Henning Lange, Bingqing Chen, Mario Berges +1
Alternating current optimal power flow (AC-OPF) is one of the fundamental problems in power systems operation. AC-OPF is traditionally cast as a constrained optimization problem th…
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu +4
Understanding the models that characterize the thermal dynamics in a smart building is important for the comfort of its occupants and for its energy optimization. A significant amo…
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization
Alan Mazankiewicz, Klemens Böhm, Mario Bergés
Human Activity Recognition (HAR) from devices like smartphone accelerometers is a fundamental problem in ubiquitous computing. Machine learning based recognition models often perfo…
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
Jingxiao Liu, Bingqing Chen, Siheng Chen +3
We introduce a physics-guided signal processing approach to extract a damage-sensitive and domain-invariant (DS & DI) feature from acceleration response data of a vehicle traveling…
Estimating the Benefits of Electric Vehicle Smart Charging at Non-Residential Locations: A Data-Driven Approach
Emre Can Kara, Jason S. Macdonald, Douglas Black +3
In this paper, we use data collected from over 2000 non-residential electric vehicle supply equipments (EVSEs) located in Northern California for the year of 2013 to estimate the p…
A comparison of non-intrusive load monitoring methods for commercial and residential buildings
Nipun Batra, Oliver Parson, Mario Berges +2
Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating the total electricity consumption of a building as measured at single point into the bu…