Kevin Förderer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Meeting Scheduling

Energy Management

Using Artificial Neural Networks

Top Venues

GECCO Companion

Publications

Chang Li, Gina Brecher, Jovana Kovacevic, Hüseyin K. Çakmak, Kevin Förderer, Jörg Matthes, Veit Hagenmeyer
Gossen's first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation. Energy Inform. 7 (1) (2024)
Gökhan Demirel, Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer
Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grids. CoRR (2024)
David Wölfle, Kevin Förderer, Tobias Riedel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck
Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale. CoRR (2024)
Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer
Distribution Grid Monitoring Based on Widely Available Smart Plugs. EI.A (2) (2023)
Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. GECCO Companion (2023)
Chang Li, Kevin Förderer, Tobias Moser, Luigi Spatafora, Veit Hagenmeyer
Gossen's First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study. EI.A (2) (2023)
Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer
Distribution Grid Monitoring Based on Widely Available Smart Plugs. CoRR (2022)
Malte Chlosta, Jianlei Liu, Rafael Poppenborg, Richard Lutz, Kevin Förderer, Thorsten Schlachter, Veit Hagenmeyer
An adapter-based architecture for evaluating candidate solutions in energy system scheduling. Energy Inform. 5 (2022)
Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Düpmeier, Kevin Förderer, Veit Hagenmeyer
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments. GECCO Companion (2022)
Kevin Förderer, Hartmut Schmeck
State-based load profile generation for modeling energetic flexibility. Energy Inform. 2 (S1) (2019)
Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck
Modeling flexibility using artificial neural networks. Energy Inform. 1 (S1) (2018)
Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck
Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids: Note. e-Energy (2018)
Kevin Förderer, Hartmut Schmeck
Demo abstract: a building energy management system in the context of the smart grid traffic light concept. Comput. Sci. Res. Dev. 33 (1-2) (2018)