activity
20222025
most citedConcept Identification for Complex Engineering Datasets

7 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025★ 7 cited

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning

Jens Engel, Andrea Castellani, Patricia Wollstadt +9

We present a large real-world dataset obtained from monitoring a smart company facility over the course of six years, from 2018 to 2023. The dataset includes energy consumption dat…

cs.IT2023

Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation

David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh +3

Describing statistical dependencies is foundational to empirical scientific research. For uncovering intricate and possibly non-linear dependencies between a single target variable…

cs.LG2023

Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions

Felix Lanfermann, Qiqi Liu, Yaochu Jin +1

Implementing resource efficient energy management systems in facilities and buildings becomes increasingly important in the transformation to a sustainable society. However, select…

cs.LG2023★ 2 cited

Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces

Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt

Identifying meaningful concepts in large data sets can provide valuable insights into engineering design problems. Concept identification aims at identifying non-overlapping groups…

cs.LG2022★ 7 cited

Concept Identification for Complex Engineering Datasets

Felix Lanfermann, Sebastian Schmitt

Finding meaningful concepts in engineering application datasets which allow for a sensible grouping of designs is very helpful in many contexts. It allows for determining different…