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Found 12 papers, 3 papers with code
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities
Our experimental study shows that, for both market models, only a small number of P2P contracts, and only a fraction of total prosumers in the community are required to achieve the majority of the maximal potential Gains from Trade.
Bayesian Learning for the Robust Verification of Autonomous Robots
Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments.
Machine learning pipeline for battery state of health estimation
In this paper, we design and evaluate a machine learning pipeline for estimation of battery capacity fade - a metric of battery health - on 179 cells cycled under various conditions.
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
To reduce Operation and Maintenance (O&M) costs on offshore wind farms, wherein 80% of the O&M cost relates to deploying personnel, the offshore wind sector looks to Robotics and Artificial Intelligence (RAI) for solutions.
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations
Given the pressing need for assuring algorithmic transparency, Explainable AI (XAI) has emerged as one of the key areas of AI research.
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles
Context: Demonstrating high reliability and safety for safety-critical systems (SCSs) remains a hard problem.
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Increasingly sophisticated mathematical modelling processes from Machine Learning are being used to analyse complex data.
Consider ethical and social challenges in smart grid research
Artificial Intelligence and Machine Learning are increasingly seen as key technologies for building more decentralised and resilient energy grids, but researchers must consider the ethical and social implications of their use
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management
The battery is a key component of autonomous robots.
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing
There is an urgent societal need to assess whether autonomous vehicles (AVs) are safe enough.
Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning
Many of the proposed methods require full observability of the networks, motivating the installations of smart meters and advance metering infrastructure in many countries.
Probabilistic Model Checking of Robots Deployed in Extreme Environments
Robots are increasingly used to carry out critical missions in extreme environments that are hazardous for humans.
