Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review
R Fachrizal, M Shepero, D van der Meer… - ETransportation, 2020 - Elsevier
Photovoltaics (PV) and electric vehicles (EVs) are two emerging technologies often
considered as cornerstones in the energy and transportation systems of future sustainable …
considered as cornerstones in the energy and transportation systems of future sustainable …
A review of distributed optimization: Problems, models and algorithms
Y Zheng, Q Liu - Neurocomputing, 2022 - Elsevier
With the development of big data and artificial intelligence, distributed optimization has
emerged as an indispensable tool for solving large-scale problems. In particular, the multi …
emerged as an indispensable tool for solving large-scale problems. In particular, the multi …
Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization
Overparameterized neural networks can be highly accurate on average on an iid test set yet
consistently fail on atypical groups of the data (eg, by learning spurious correlations that …
consistently fail on atypical groups of the data (eg, by learning spurious correlations that …
[LIVRE][B] Mathematics for machine learning
The fundamental mathematical tools needed to understand machine learning include linear
algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
Energy efficient resource allocation in UAV-enabled mobile edge computing networks
In this paper, we consider the sum power minimization problem via jointly optimizing user
association, power control, computation capacity allocation, and location planning in a …
association, power control, computation capacity allocation, and location planning in a …
Energy-efficient wireless communications with distributed reconfigurable intelligent surfaces
This paper investigates the problem of resource allocation for a wireless communication
network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple …
network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple …
Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations
P Mohajerin Esfahani, D Kuhn - Mathematical Programming, 2018 - Springer
We consider stochastic programs where the distribution of the uncertain parameters is only
observable through a finite training dataset. Using the Wasserstein metric, we construct a …
observable through a finite training dataset. Using the Wasserstein metric, we construct a …
Distributionally robust chance constrained data-enabled predictive control
In this article we study the problem of finite-time constrained optimal control of unknown
stochastic linear time-invariant (LTI) systems, which is the key ingredient of a predictive …
stochastic linear time-invariant (LTI) systems, which is the key ingredient of a predictive …
Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …
attractive solution to meet the exponentially increasing demand on mobile data traffic …
Energy efficient UAV communication with energy harvesting
This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless communication
system with energy harvesting, where the UAV transfers energy to the users in half duplex or …
system with energy harvesting, where the UAV transfers energy to the users in half duplex or …