activity
20232026
most citedElectricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study

6 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Quantification and Surrogate Model Estimation of Spatial-Temporal Carbon Intensity Factors

Daniel R. Bayer, Jonas Schiller, Thanh Mai Pham +1

The transition toward sustainable urban infrastructure is driving a rapid increase in distributed energy resources, particularly among prosumers equipped with solar photovoltaic (P…

cs.LG2026

Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption

Marja Wahl, Daniel R. Bayer, Sven Rausch +1

Obtaining an accurate short-term forecasting for heat demand is an essential part of operating district heating networks cost-efficient and reliable. Heat consumption time series a…

cs.CY2025★ 6 cited

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study

Daniel R. Bayer, Felix Haag, Marco Pruckner +1

Short-term forecasting of residential electricity demand is an important task for utilities. Yet, many small and medium-sized utilities still use simple forecasting approaches such…

cs.MA2024★ 4 cited

Analyzing the Impact of Electric Vehicles on Local Energy Systems using Digital Twins

Daniel René Bayer, Marco Pruckner

The electrification of the transportation and heating sector, the so-called sector coupling, is one of the core elements to achieve independence from fossil fuels. As it highly aff…

cs.CY2023★ 5 cited

Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data

Daniel R. Bayer, Marco Pruckner

Currently, gas furnaces are common heating systems in Europe. Due to the efforts for decarbonizing the complete energy sector, heat pumps should continuously replace existing gas f…