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State-of-the-art and prospects for peer-to-peer transaction-based energy system
Transaction-based energy (TE) management and control has become an increasingly
relevant topic, attracting considerable attention from industry and the research community …
relevant topic, attracting considerable attention from industry and the research community …
Applications of economic and pricing models for resource management in 5G wireless networks: A survey
This paper presents a comprehensive literature review on applications of economic and
pricing theory for resource management in the evolving fifth generation (5G) wireless …
pricing theory for resource management in the evolving fifth generation (5G) wireless …
Cloud/fog computing resource management and pricing for blockchain networks
Public blockchain networks using proof of work (PoW)-based consensus protocols are
considered as a promising platform for decentralized resource management with financial …
considered as a promising platform for decentralized resource management with financial …
Learning in games with continuous action sets and unknown payoff functions
This paper examines the convergence of no-regret learning in games with continuous action
sets. For concreteness, we focus on learning via “dual averaging”, a widely used class of no …
sets. For concreteness, we focus on learning via “dual averaging”, a widely used class of no …
[КНИГА][B] Modern nonconvex nondifferentiable optimization
Mathematical optimization has always been at the heart of engineering, statistics, and
economics. In these applied domains, optimization concepts and methods have often been …
economics. In these applied domains, optimization concepts and methods have often been …
A new energy storage sharing framework with regard to both storage capacity and power capacity
Energy storage systems have received widespread attention due to their advantages on
rapid response, smooth fluctuations, and the reduction of temporal and spatial imbalance. At …
rapid response, smooth fluctuations, and the reduction of temporal and spatial imbalance. At …
Decomposition by partial linearization: Parallel optimization of multi-agent systems
We propose a novel decomposition framework for the distributed optimization of general
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …
Distributed demand side management with stochastic wind power forecasting
In this article, we propose a distributed demand-side management (DSM) approach for
smart grids taking into account uncertainty in wind power forecasting. The smart grid model …
smart grids taking into account uncertainty in wind power forecasting. The smart grid model …
Joint spectrum and power allocation for D2D communications underlaying cellular networks
This paper addresses the joint spectrum sharing and power allocation problem for device-to-
device (D2D) communications underlaying a cellular network (CN). In the context of …
device (D2D) communications underlaying a cellular network (CN). In the context of …
Bandit learning in concave N-person games
This paper examines the long-run behavior of learning with bandit feedback in non-
cooperative concave games. The bandit framework accounts for extremely low-information …
cooperative concave games. The bandit framework accounts for extremely low-information …