Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Tobias Rodemann"'
Autor:
Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer
Publikováno v:
IEEE Access, Vol 10, Pp 115322-115337 (2022)
With the increasing uptake of electric vehicles (EVs), the need for efficient scheduling of EV charging is becoming increasingly important. A charging station operator needs to identify charging/discharging power of the client EVs over a time horizon
Externí odkaz:
https://doaj.org/article/84849e3ea3a846fcb2db616bb23e6df4
Publikováno v:
Inventions, Vol 7, Iss 3, p 46 (2022)
We present a new two-step approach for automatized a posteriori decision making in multi-objective optimization problems, i.e., selecting a solution from the Pareto front. In the first step, a knee region is determined based on the normalized Euclide
Externí odkaz:
https://doaj.org/article/38beb01491734391a3e073e82b1252d4
A General Cooperative Optimization Approach for Distributing Service Points in Mobility Applications
Publikováno v:
Algorithms, Vol 14, Iss 8, p 232 (2021)
This article presents a cooperative optimization approach (COA) for distributing service points for mobility applications, which generalizes and refines a previously proposed method. COA is an iterative framework for optimizing service point location
Externí odkaz:
https://doaj.org/article/d81bce1431ed42509e6d634609611be1
Publikováno v:
Energies, Vol 14, Iss 9, p 2569 (2021)
Model predictive control (MPC) is widely used for microgrids or unit commitment due to its ability to respect the forecasts of loads and generation of renewable energies. However, while there are lots of approaches to accounting for uncertainties in
Externí odkaz:
https://doaj.org/article/875da00391e040d9917f1394947e3133
Publikováno v:
Energies, Vol 12, Iss 15, p 2858 (2019)
The development of efficient electric vehicle (EV) charging infrastructure requires a modeling of customer behavior at an appropriate level of detail. Since only limited information about real customers is available, most simulation approaches employ
Externí odkaz:
https://doaj.org/article/4a6f0d14d5664530affefbe259d49ec7
Publikováno v:
PLoS ONE, Vol 6, Iss 7, p e21575 (2011)
Average human behavior in cue combination tasks is well predicted by bayesian inference models. As this capability is acquired over developmental timescales, the question arises, how it is learned. Here we investigated whether reward dependent learni
Externí odkaz:
https://doaj.org/article/89776dfa16ac41748a842e28097c2d06
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:763-775
It is highly desirable to adapt the reference vectors to unknown Pareto fronts (PFs) in decomposition-based evolutionary many-objective optimization. While adapting the reference vectors enhances the diversity of the achieved solutions, it often dece
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:7760-7773
Acquisition functions for surrogate-assisted many-objective optimization require a delicate balance between convergence and diversity. However, the conflicting nature between many objectives may lead to an imbalance between exploration and exploitati
Publikováno v:
IEEE Transactions on Smart Grid. 13:3082-3093
Publikováno v:
Evolutionary Computation in Combinatorial Optimization ISBN: 9783031300349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8ce2c90ba3887aba08f176d4643b4d5
https://doi.org/10.1007/978-3-031-30035-6_4
https://doi.org/10.1007/978-3-031-30035-6_4