15 citations · 33 across the 8 of their papers we have counts for
8 papers
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…
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…
FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting
Marco Obermeier, Marco Pruckner, Florian Haselbeck +1
Driven by the transition towards a climate-neutral energy system, accurate energy time series forecasting is critical for planning and operations. Yet, it remains a dataset-specifi…
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…
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…
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles
Leo Strobel, Marco Pruckner
As the global energy landscape shifts towards renewable energy and the electrification of the transport and heating sectors, national energy systems will include more controllable…
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…
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems
Daniel Bayer, Marco Pruckner
Systems for heating, ventilation and air-conditioning (HVAC) of buildings are traditionally controlled by a rule-based approach. In order to reduce the energy consumption and the e…