Author

Markus Kreft

Observed names: Kreft, Markus, M. Kreft

Institution: ETH Zurich

Observed institutions: Heidelberg University, ETH Zurich

ORCID: 0009-0000-6491-4176

Observed ORCID: 0009-0000-6491-4176

OpenAlex ID: A5073836172

Control of criticality and computation in spiking neuromorphic networks with plasticity

2020 · Benjamin Cramer, David Stöckel, et al. · Nature Communications · 115

PDF

Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity

2024 · Markus Kreft, Tobias Brudermueller, et al. · Applied Energy · 50

Large-scale monitoring of residential heat pump cycling using smart meter data

2023 · Tobias Brudermueller, Markus Kreft, et al. · Applied Energy · 23

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

2023 · Benjamin Cramer, Markus Kreft, et al. · Physical Review Research · 9

PDF

Peak reduction via time-variable tariffs and automated load control: Results from a Swiss pilot study

2026 · Katharina Kaiser, Markus Kreft, et al. · Applied Energy · 4

Reducing power peaks in low-voltage grids via dynamic tariffs and automatic load control

2023 · K. Kaiser, M. Kreft, et al. · IET conference proceedings. · 3

Showcasing volunteer selection bias: Behavior of opt-in and not-opt-in participants in a time-of-use tariff study

2026 · Markus Kreft, Ludger Leenders, et al. · Energy Research & Social Science · 2

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning

2026 · Zumarraga, Nicolas, Kaar, Thomas, et al. · arXiv (Cornell University) · 2

PDF

Identifying Electric Water Heaters from Low-Resolution Smart Meter Data

2024 · Markus Kreft, Tobias Brudermueller, et al. · IEEE Conference on Technologies for Sustainability · 2

Dataset on residential electricity load profiles in Switzerland

2026 · Kaiser, Katharina, Kreft, Markus, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1

Scenario-Based Threshold Control of Energy Storage Systems for Peak Shaving

2025 · Katharina Kaiser, Markus Kreft, et al. · IEEE PES Innovative Smart Grid Technologies Europe · 1

Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents

2026 · Strand, Lasse B., Jakob, Robert, et al. · arXiv (Cornell University)

PDF

TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models

2026 · Maritsch, Martin, Stoffregen, Timo, et al. · arXiv (Cornell University)

PDF

ConRAG: Lightweight inference of multi-hop relations

2026 · Bänziger, Kilian, Laguna, Sonia, et al. · arXiv (Cornell University)

PDF

AuscuTSLM: Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings

2026 · Wu, Fan, Wang, Tsai-Ning, et al. · Repository for Publications and Research Data (ETH Zurich)

AuscuTSLM: Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings

2026 · Fan Wu, Tsai-Ning Wang, et al. · Interspeech (USB)

PDF

TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

2026 · Zumarraga, Nicolas, Steno, Lorenzo, et al. · arXiv (Cornell University)

PDF

Dataset on residential electricity load profiles in Switzerland

2026 · Kaiser, Katharina, Kreft, Markus, et al. · Zenodo (CERN European Organization for Nuclear Research)

Dataset on residential electricity load profiles in Switzerland

2026 · Kaiser, Katharina, Kreft, Markus, et al. · arXiv (Cornell University)

PDF

Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings

2026 · Wu, Fan, Wang, Tsai-Ning, et al. · arXiv (Cornell University)

PDF

Customer segmentation and demand response optimization in residential households: a scalable framework from large-scale smart meter data

2026 · Arnab Chatterjee, Anmol Panda, et al. · SSRN Electronic Journal

TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models

2026 · Zumarraga, Nicolas, Kaar, Thomas, et al. · Repository for Publications and Research Data (ETH Zurich)

Customer segmentation and demand response optimization in residential households: a scalable framework from large-scale smart meter data

2026 · Arnab Chatterjee, Anmol Panda, et al. · SSRN Electronic Journal

The Human Element in Automated Systems: Combining Machine Learning and Behavioral Interventions for Residential Demand Response

2025 · Kreft, Markus · ETH Zürich Research Collection

Works count: 27

Citation count: 212

H-index: 4

I10-index: 3