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- Journal Article
- A1
- open access
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
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Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations
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- Journal Article
- A1
- open access
Bayesian cylindrical data modeling using Abe-Ley mixtures
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- PhD Thesis
- open access
Data-driven statistical modeling and reinforcement learning based control of flexibility in domestic and electric vehicle power consumption
(2018) -
Achieving scalable model-free demand response in charging an electric vehicle fleet with reinforcement learning
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- Conference Paper
- P1
- open access
Modeling real-world flexibility of residential power consumption : exploring the cylindrical WeiSSVM distribution
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- Journal Article
- A1
- open access
Quantitive analysis of electric vehicle flexibility : a data-driven approach
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- Journal Article
- A1
- open access
Comprehensive feature selection for appliance classification in NILM
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- Conference Paper
- P1
- open access
Quantifying flexibility in EV charging as DR potential : analysis of two real-world data sets
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- Journal Article
- A1
- open access
Modeling and analysis of residential flexibility: timing of white good usage