4 citations · 6 across the 2 of their papers we have counts for
3 papers
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach
Sangjun Bae, Balazs Kulcsar, Sebastien Gros
With the increasing number of fast-electric vehicle charging stations (fast-EVCSs) and the popularization of information technology, electricity price competition between fast-EVCS…
Collaborative electric vehicle routing with meet points
Fangting Zhou, Ala Arvidsson, Jiaming Wu +1
In this paper, we develop a profit-sharing-based optimal routing mechanism to incentivize horizontal collaboration among urban goods distributors. This paper investigates a collabo…
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky, Viktor Andersson, Balazs Kulcsar +1
Most complex machine learning and modelling techniques are prone to over-fitting and may subsequently generalise poorly to future data. Artificial neural networks are no different…