Research graph
References from A federated discrete reinforcement learning architecture for enhancing convergence and interpretability in distributed control. Local targets link to admitted publications; unresolved targets remain external evidence.
The renewable energy role in the global energy transformations
10.1016/j.ref.2024.100545 · 2024 · External reference
Review of key technologies for offshore floating wind power generation
10.3390/en16020710 · 2023 · External reference
Intelligent control techniques for maximum power point tracking in wind turbines
2024 · External reference
Accounting for environmental conditions in data-driven wind turbine power models
10.1109/tste.2022.3204453 · 2022 · External reference
Power regulation and load mitigation of floating wind turbines via reinforcement learning
2023 · External reference
Wind farm control technologies: from classical control to reinforcement learning
10.1088/2516-1083/ac6cc1 · 2022 · External reference
The effects of data quality on machine learning performance on tabular data
10.1016/j.is.2025.102549 · 2025 · External reference
Impartial games: A challenge for reinforcement learning
10.1007/s10994-026-06996-1 · 2026 · External reference
Building minimal and reusable causal state abstractions for reinforcement learning
2024 · External reference
Federated learning: Overview, strategies, applications, tools and future directions
10.1016/j.heliyon.2024.e38137 · 2024 · External reference
A survey on interpretable reinforcement learning
10.1007/s10994-024-06543-w · 2024 · External reference
From explainability to interpretability: interpretable policies in reinforcement learning via model explanation
2025 · External reference
Communication-efficient learning of deep networks from decentralized data
2017 · External reference
Combining federated learning and control: A survey
10.1049/cth2.12761 · 2024 · External reference
Unresolved reference
2021 · External reference
Federated discrete reinforcement learning for automatic guided vehicle control
10.1016/j.future.2023.08.021 · 2024 · External reference
Wind turbine pitch reinforcement learning control improved by pid regulator and learning observer
10.1016/j.engappai.2022.104769 · 2022 · External reference
Fuzzy-based collective pitch control for wind turbine via deep reinforcement learning
10.1016/j.isatra.2024.03.023 · 2024 · External reference
Exploring reward strategies for wind turbine pitch control by reinforcement learning
10.3390/app10217462 · 2020 · External reference
FedWindT: Federated learning assisted transformer architecture for collaborative and secure wind power forecasting in diverse conditions
10.1016/j.energy.2024.133072 · 2024 · External reference
Federated learning (FL) model of wind power prediction
2024 · External reference
Power regulation and load mitigation of floating wind turbines via reinforcement learning
2023 · External reference
Capsule-based federated reinforcement learning adaptive sliding mode for anomaly detection and control of floating wind turbines
10.1371/journal.pone.0336410 · 2025 · External reference
A review on wind turbine control and its associated methods
10.1016/j.jclepro.2017.10.297 · 2018 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2025 · External reference
Modeling wind-speed statistics beyond the Weibull distribution
10.3390/en17112621 · 2024 · External reference
An assessment framework for explainable AI with applications to cybersecurity
10.1007/s10462-025-11141-w · 2025 · External reference
Unresolved reference
2019 · External reference
