activity
20192026
most citedData-Driven Copy-Paste Imputation for Energy Time Series

38 citations · 59 across the 13 of their papers we have counts for

collaborators

13 papers

cs.SE2026

Comparison of Energy System Optimization Software and Evaluation of Selected Frameworks

Pedro Caixeta, David Gawron, Hüseyin K. Çakmak +1

Optimizing energy systems is a crucial step toward achieving a carbon-neutral future, with software tools playing a major role in the process. However, selecting the most suitable…

eess.SY2026

JanusBM: A Dual-Fidelity Multi-Zone White-Box Building Modeling Framework

Haozhen Cheng, Hüseyin K. Çakmak, Veit Hagenmeyer

Accurate building energy models are crucial for analyzing sector-coupled energy systems, where buildings interact with electrified heating, energy storage, and advanced control acr…

eess.SY2025

ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage

Jovana Kovačević, Felix Langner, Erfan Tajalli-Ardekani +6

Integrating flexible loads and storage systems into the residential sector contributes to the alignment of volatile renewable generation with demand. Besides batteries serving as a…

eess.SY2025

A TSO-DSO Coordination Framework via Analytical Representation and Monetization of PQV-Based Distribution System Flexibility

Burak Dindar, Can Berk Saner, Hüseyin Kemal Çakmak +1

As the role of distribution system (DS) flexibility in transmission system operator (TSO) network management becomes increasingly vital, data privacy concerns hinder seamless inter…

eess.SY2025

Economy and sustainability analysis with a novel modular configurable multi-modal white-box building model

Haozhen Cheng, Veit Hagenmeyer, Hüseyin K. Çakmak

This paper presents a novel modeling approach for building performance simulation, characterized as a white-box model with a high degree of modularity and flexibility, enabling dir…

eess.SY2025★ 1 cited

Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach

Burak Dindar, Can Berk Saner, Hüseyin K. Çakmak +1

Due to the transformation of the power system, the effective use of flexibility from the distribution system (DS) is becoming crucial for efficient network management. Leveraging t…

eess.SY2025

New Co-Simulation Variants for Emissions and Cost Reduction of Sustainable District Heating Planning

Haozhen Cheng, Verena Buccoliero, Alexander Kocher +2

Classical heating of residential areas is very energy-intensive, so alternatives are needed, including renewable energies and advanced heating technologies. Thus, the present paper…

eess.SY2025

Construction and Control of Validated Highly Configurable Multi-Physics Building Models for Multi-Energy System Analysis in a Co-Simulation Setup

Haozhen Cheng, Jan Stock, André Xhonneux +2

Improving energy efficiency by monitoring system behavior and predicting future energy scenarios in light of increased penetration of renewable energy sources are becoming increasi…

cs.DC2024★ 5 cited

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework

Xinliang Dai, Alexander Kocher, Jovana Kovačević +5

During the energy transition, the significance of collaborative management among institutions is rising, confronting challenges posed by data privacy concerns. Prevailing research…

cs.CE2023

Open Data-Driven Automation of Residential Distribution Grid Modeling with Minimal Data Requirements

Moritz Weber, Luc Janecke, Hüseyin K. Çakmak +1

In the present paper, we introduce a new method for the automated generation of residential distribution grid models based on novel building load estimation methods and a two-stage…

eess.SP2022★ 13 cited

Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach

Hüseyin K. Çakmak, Luc Janecke, Veit Hagenmeyer

The increasing share of renewable energy sources on distribution grid level as well as the emerging active role of prosumers lead to both higher distribution grid utilization, and…

cs.LG2021★ 38 cited

Data-Driven Copy-Paste Imputation for Energy Time Series

Moritz Weber, Marian Turowski, Hüseyin K. Çakmak +3

A cornerstone of the worldwide transition to smart grids are smart meters. Smart meters typically collect and provide energy time series that are vital for various applications, su…

cs.DC2019★ 2 cited

A Comparison of Partitioning Strategies in AC Optimal Power Flow

Alexander Murray, Michael Kyesswa, Philipp Schmurr +2

The highly non-convex AC optimal power flow problem is known to scale very poorly with respect to the number of lines and buses. To achieve improved computational speed and scalabi…