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 (e-Energy, 2018)

Modeling flexibility using artificial neural networks. - Kevin Förderer; Mischa Ahrens; Kaibin Bao; Ingo Mauser; Hartmut Schmeck (Energy Inform., 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)

State-based load profile generation for modeling energetic flexibility. - Kevin Förderer; Hartmut Schmeck (Energy Inform., 2019)

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments. - Hatem Khalloof; Sergen Ciftci; Shadi Shahoud; Clemens Düpmeier; Kevin Förderer; Veit Hagenmeyer (GECCO Companion, 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)

Distribution Grid Monitoring Based on Widely Available Smart Plugs. - Simon Grafenhorst; Kevin Förderer; Veit Hagenmeyer (EI.A (2), 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 (EI.A (2), 2023)

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. - Rafael Poppenborg; Kaleb Phipps; Hatem Khalloof; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (GECCO Companion, 2023)

Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption. - Jovana Kovacevic; Chang Li; Kevin Förderer; Hüseyin K. Çakmak; Veit Hagenmeyer (e-Energy, 2024)

Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grids. - Gökhan Demirel; Simon Grafenhorst; Kevin Förderer; Veit Hagenmeyer (EI.A (2), 2024)

Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications. - Stefan Meisenbacher; Johannes Galenzowski; Kevin Förderer; Wolfgang Süß; Simon Waczowicz; Ralf Mikut; Veit Hagenmeyer (EI.A (1), 2024)

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. - Rafael Poppenborg; Kaleb Phipps; Maximilian Beichter; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (EI.A (2), 2024)

Synthesizing Distribution Grid Congestion Data Using Multivariate Conditional Time Series Generative Adversarial Networks. - Gökhan Demirel; Jan Hauf; Hallah Butt; Kevin Förderer; Benjamin SchtiferiD; Veit Hagenmeyer (iSPEC, 2024)

Grid Aware Portfolio Optimization of a Multi-Energy DER. - Simon Grafenhorst; Gökhan Demirel; Kevin Förderer; Veit Hagenmeyer (iSPEC, 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)

Distribution grid monitoring based on feature propagation using smart plugs. - Simon Grafenhorst; Kevin Förderer; Veit Hagenmeyer (Energy Inform., 2024)

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. - Chang Li; Gina Brecher; Jovana Kovacevic; Hüseyin K. Çakmak; Kevin Förderer; Jörg Matthes; Veit Hagenmeyer (Energy Inform., 2024)

Augmented Pre-trained Graph Neural Networks for Grid-Supportive Flexibility Control. - Simon Grafenhorst; Gökhan Demirel; Kevin Förderer; Veit Hagenmeyer (e-Energy, 2025)

PIDE: Photovoltaic integration dynamics and efficiency for autonomous control on power distribution grids. - Gökhan Demirel; Natascha Fernengel; Simon Grafenhorst; Kevin Förderer; Veit Hagenmeyer (Energy Inform., 2025)