Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach
The increasing penetration of small-scale distributed energy resources (DER) has the
potential to support cost-efficient energy balancing in emerging electricity systems, but is …
potential to support cost-efficient energy balancing in emerging electricity systems, but is …
The longest month: analyzing COVID-19 vaccination opinions dynamics from tweets in the month following the first vaccine announcement
The coronavirus outbreak has brought unprecedented measures, which forced the
authorities to make decisions related to the instauration of lockdowns in the areas most hit …
authorities to make decisions related to the instauration of lockdowns in the areas most hit …
Control for smart systems: Challenges and trends in smart cities
There have been tremendous developments in theories and technologies in control for
smart systems. In this paper we review applications to various systems that are crucial for the …
smart systems. In this paper we review applications to various systems that are crucial for the …
Augmented reality, cyber-physical systems, and feedback control for additive manufacturing: a review
Our objective in this paper is to review the application of feedback ideas in the area of
additive manufacturing. Both the application of feedback control to the 3D printing process …
additive manufacturing. Both the application of feedback control to the 3D printing process …
The sharing economy and business model design: A configurational approach
F Jiang, X Zheng, D Fan, P Zhang… - Journal of Management …, 2021 - Wiley Online Library
The rapid growth of the sharing economy has attracted a recent surge of academic interest.
However, few studies to date address performance variation among sharing platforms …
However, few studies to date address performance variation among sharing platforms …
Probabilistic design of optimal sequential decision-making algorithms in learning and control
This survey is focused on certain sequential decision-making problems that involve
optimizing over probability functions. We discuss the relevance of these problems for …
optimizing over probability functions. We discuss the relevance of these problems for …
CRAWLING: a crowdsourcing algorithm on wheels for smart parking
We present the principled design of CRAWLING: a CRowdsourcing Algorithm on WheeLs
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
On the crowdsourcing of behaviors for autonomous agents
G Russo - IEEE Control Systems Letters, 2020 - ieeexplore.ieee.org
This letter is concerned with the problem of designing, from data, agents that are able to craft
their behavior from a set of contributors in order to fulfill some agent-specific task. This is not …
their behavior from a set of contributors in order to fulfill some agent-specific task. This is not …
Supply and demand matching model of P2P sharing accommodation platforms considering fairness
L Xiong, C Wang, Z Xu - Electronic Commerce Research, 2022 - Springer
Due to the continuous expansion of sharing economy, the diversification of users and the
heterogeneity of resources and needs on P2P platform are speeding up, which makes it …
heterogeneity of resources and needs on P2P platform are speeding up, which makes it …
Spatial positioning token (SPToken) for smart mobility
R Overko, R Ordóñez-Hurtado, S Zhuk… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
We introduce a permissioned distributed ledger technology (DLT) design for crowdsourced
smart mobility applications. This architecture is based on a directed acyclic graph …
smart mobility applications. This architecture is based on a directed acyclic graph …