Kevin Förderer

According to our database, Kevin Förderer authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale.

David Wölfle, Kevin Förderer, Tobias Riedel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck

CoRR, 2024

2023

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.

Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Gossen's First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study.

Chang Li, Kevin Förderer, Tobias Moser, Luigi Spatafora, Veit Hagenmeyer

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Distribution Grid Monitoring Based on Widely Available Smart Plugs.

Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

2022

An adapter-based architecture for evaluating candidate solutions in energy system scheduling.

Malte Chlosta, Jianlei Liu, Rafael Poppenborg, Richard Lutz, Kevin Förderer, Thorsten Schlachter, Veit Hagenmeyer

Energy Inform., 2022

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.

Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Düpmeier, Kevin Förderer, Veit Hagenmeyer

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2019

State-based load profile generation for modeling energetic flexibility.

Kevin Förderer, Hartmut Schmeck

Energy Inform., 2019

2018

Demo abstract: a building energy management system in the context of the smart grid traffic light concept.

Kevin Förderer, Hartmut Schmeck

Comput. Sci. Res. Dev., 2018

Modeling flexibility using artificial neural networks.

Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck

Energy Inform., 2018

Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids: Note.

Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck

Proceedings of the Ninth International Conference on Future Energy Systems, 2018