Smart Data Selection and Reduction for Electric Vehicle Service Analytics. - Jennifer Schoch; Philipp Staudt; Thomas Setzer (HICSS, 2017)

Enhancing Process Data in Manual Assembly Workflows. - Sönke Knoch; Nico Herbig 001; Shreeraman Ponpathirkoottam; Felix Kosmalla; Philipp Staudt; Peter Fettke; Peter Loos (Business Process Management Workshops, 2018)

Event-based Process Simulation of Operating Resources in Assembly Workflows. - Philipp Staudt; Sönke Knoch; Daniel Porta (BPM (Dissertation/Demos/Industry), 2018)

SCiBER: A new public data set of municipal building consumption. - Philipp Staudt; Nicole Ludwig 002; Julian Huber; Veit Hagenmeyer; Christof Weinhardt (e-Energy, 2018)

The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate. - Philipp Staudt; Johannes Gärttner; Christof Weinhardt; Matías Negrete-Pincetic; Álvaro Lorca (e-Energy, 2018)

Using vehicle-to-grid concepts to balance redispatch needs: A case study in Germany. - Philipp Staudt; Marc Schmidt; Johannes Gärttner; Christof Weinhardt (e-Energy, 2018)

Predicting Redispatch in the German Electricity Market using Information Systems based on Machine Learning. - Philipp Staudt; Yannick TrXris; Benjamin Rausch; Christof Weinhardt (ICIS, 2018)

Assessment of Market Power in Local Electricity Markets with regards to Competition and Tacit Collusion. - Philipp Staudt; Johannes Gärttner; Christof Weinhardt (MKWI, 2018)

A comprehensive modelling framework for demand side flexibility in smart grids. - Lukas Barth; Nicole Ludwig 002; Esther Mengelkamp; Philipp Staudt (Comput. Sci. Res. Dev., 2018)

Market Mechanisms for neighbourhood electricity Grids: Design and Agent-based Evaluation. - Philipp Staudt; Sven Köpke; Christof Weinhardt (ECIS, 2019)

Transmission Grid Congestion Data and Directions for Future Research. - Benjamin Rausch; Philipp Staudt; Christof Weinhardt (e-Energy, 2019)

Marketing Risk of Renewable Generators. - Philipp Staudt; Patrick Jochem; Steven O. Kimbrough (e-Energy, 2019)

Call for Papers, Issue 3/2021 - Energy Informatics. - Philipp Staudt; Sebastian Lehnhoff; Richard T. Watson (Bus. Inf. Syst. Eng., 2019)

Perspectives on data availability and market approaches to congestion management. - Bent Richter; Philipp Staudt (it Inf. Technol., 2019)

Scaling the Concept of Citizen Energy Communities through a Platform-Based Decision Support System. - Armin Golla; Sarah Henni; Philipp Staudt (ECIS, 2020)

Vehicle Scheduling and refueling of Hydrogen Buses with On-site Electrolysis. - Armin Golla; Frederik vom Scheidt; Nicole Röhrig; Philipp Staudt; Christof Weinhardt (GI-Jahrestagung, 2020)

A Merchant Transmission Approach for Uniform-Price Electricity Markets. - Philipp Staudt; Shmuel S. Oren (HICSS, 2020)

A Smart Digital Platform for Airport Services Improving Passenger Satisfaction. - Sönke Knoch; Philipp Staudt; Bruno Puzzolante; Andrea Maggi (CBI (1), 2020)

An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data. - Benjamin Rausch; Kevin Mayer; Marie-Louise Arlt; Gunther Gust; Philipp Staudt; Christof Weinhardt; Dirk Neumann 001; Ram Rajagopal (CoRR, 2020)

An operational strategy for district heating networks: application of data-driven heat load forecasts. - Armin Golla; Julian Geis; Timon Loy; Philipp Staudt; Christof Weinhardt (Energy Inform., 2020)

Sensor-based Human-Process Interaction in Discrete Manufacturing. - Sönke Knoch; Nico Herbig 001; Shreeraman Ponpathirkoottam; Felix Kosmalla; Philipp Staudt; Daniel Porta; Peter Fettke; Peter Loos (J. Data Semant., 2020)

Information and Market Engineering at KIT: Quo Vadis? - David Dann; Michael Thomas Knierim; Christian Peukert; Philipp Staudt; Tim Straub (Market Engineering, 2021)

Engineering Energy Markets: The Past, the Present, and the Future. - Clemens van Dinther; Christoph M. Flath; Johannes Gärttner; Julian Huber; Esther Mengelkamp; Alexander Schuller; Philipp Staudt; Anke Weidlich (Market Engineering, 2021)

Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality. - Frederik vom Scheidt; Xinyuan Dong; Andrea Bartos; Philipp Staudt; Christof Weinhardt (e-Energy, 2021)

Direct Policy Search for Multiobjective Optimization of the Sizing and Operation of Citizen Energy Communities. - Armin Golla; Robin-Joshua Meinke; Mengwei Liu; Philipp Staudt; C. Lindsay Anderson; Christof Weinhardt (HICSS, 2021)

Towards Financial Risk Management for Intermittent Renewable Generation with Battery Storage. - Sarah Henni; Philipp Staudt; Patrick Jaquart; Christof Weinhardt (HICSS, 2021)

The effects of electricity tariffs on cost-minimal hydrogen supply chains and their impact on electricity prices and redispatch costs. - Frederik vom Scheidt; Jingyi Qu; Philipp Staudt; Dharik S. Mallapragada; Christof Weinhardt (HICSS, 2021)

Increasing Contributions to Sustainable Projects through Digital Nudges Amplifying Social Comparison. - Philipp Staudt; Anke Greif-Winzrieth; Petra Nieken (ICIS, 2021)

Changing the Climate in Information Systems Research. - Sebastian Lehnhoff; Philipp Staudt; Richard T. Watson (Bus. Inf. Syst. Eng., 2021)

Interview with Rainer Hoffmann on "The Transformation Towards Artificial Intelligence of Electric Utilities". - Philipp Staudt (Bus. Inf. Syst. Eng., 2021)

Local energy markets - an IT-architecture design. - Bent Richter; Armin Golla; Klaus Welle; Philipp Staudt; Christof Weinhardt (Energy Inform., 2021)

Towards Designing Smart Home Energy Applications for Effective Use. - Saskia Bluhm; Philipp Staudt; Christof Weinhardt (DESRIST, 2022)

The Success of Others: Copy Trading and Risk. - Carolin Stein; Philipp Staudt; Anke Greif-Winzrieth (Wirtschaftsinformatik, 2022)

Managing Intermittent Renewable Generation with Battery Storage using a Deep Reinforcement Learning Strategy. - Yuchen Zhou; Sarah Henni; Philipp Staudt (Wirtschaftsinformatik, 2022)

Welcome message from the organizers. - Anke Weidlich; Dirk Neumann 001; Philipp Staudt; Gunther Gust; Mirko Schäfer (Energy Inform., 2022)

Designing Local Energy Market Applications. - Bent Richter; Philipp Staudt; Christof Weinhardt (Scand. J. Inf. Syst., 2022)

Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement Learning. - Nick Harder; Anke Weidlich; Philipp Staudt (e-Energy, 2023)

Ensuring Energy Affordability through Digital Technology: A Research Model and Intervention Design. - Saskia Bluhm; Philipp Staudt; Christof Weinhardt (Wirtschaftsinformatik, 2023)

Finding individual strategies for storage units in electricity market models using deep reinforcement learning. - Nick Harder; Anke Weidlich; Philipp Staudt (Energy Inform., 2023)

Green Is Everywhere And Nowhere Should Information Systems Scholarship Engage In Sustainability? - Anne Ixmeier; Philipp Staudt; Marie-Claude Boudreau; Gilbert Fridgen; Marc-Fabian Körner; Jyoti Mishra; Richard Watson 002 (ECIS, 2024)

Experimental Evaluation of the Effect of Salient Real-Time Cost Information on the Energy Efficiency Gap. - Philipp Staudt; Madeline Werthschulte (ECIS, 2024)

Multi Power-Market Bidding: Stochastic Optimization and Reinforcement Learning. - Kim K. Miskiw; Nick Harder; Philipp Staudt (HICSS, 2024)

How a Utility Company Established a Corporate Data Culture for Data-Driven Decision Making. - Philipp Staudt; Rainer Hoffmann 004 (MIS Q. Executive, 2024)