19 results for "Valentin Robu"

Machine learning pipeline for battery state-of-health estimation

Darius Roman; Saurabh Saxena; Valentin Robu et al.

Nature Machine Intelligence · 2021 · English · OpenAlex Scopus

Data-driven modelling of energy demand response behaviour based on a large-scale residential trial

Ioannis Antonopoulos; Valentin Robu; Benoit Couraud et al.

Energy and AI, Vol. 4 · 2021 · English · DOAJ Scopus

Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy generation into the energy mix, and increasing…

Prognostics for Electromagnetic Relays Using Deep Learning

Lucas Kirschbaum; Valentin Robu; Jonathan Swingler et al.

IEEE Access, Vol. 10 · 2022 · English · DOAJ Scopus

Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate…

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

Osama Zaki; Matthew Dunnigan; Valentin Robu et al.

Robotics, Vol. 10 No. 1 · 2021 · English · DOAJ Scopus

A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presented. A model for the autonomous system being diagnosed is designed using a logic-based formalism. The model supports the run-time ability to verify that the autonomous system is safe and reliable for…

Prognostics and Health Management for the Optimization of Marine Hybrid Energy Systems

Wenshuo Tang; Darius Roman; Ross Dickie et al.

Energies, Vol. 13 No. 18 · 2020 · English · DOAJ Scopus

Decarbonization of marine transport is a key global issue, with the carbon emissions of international shipping projected to increase 23% to 1090 million tonnes by 2035 in comparison to 2015 levels. Optimization of the energy system (especially propulsion system) in these vessels is a complex…

Optimisation of hybrid energy systems for maritime vessels

Wenshuo Tang; Ross Dickie; Darius Roman et al.

The Journal of Engineering (2019) · 2019 · English · DOAJ Scopus

The decarbonisation agenda in maritime transport requires that asset owners and operators adopt greener technologies within their existing and new vessels. The primary drivers within this agenda relate to improved environmental metrics, efficient energy performance, and improved asset management…

Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

Sonam Norbu; Benoit Couraud; Valentin Robu et al.

IEEE Access, Vol. 9 · 2021 · English · DOAJ Scopus

The trend of decentralization of energy services has given rise to community energy systems. These energy communities aim to maximize the self-consumption of local renewable energy generated and stored in assets that are typically connected to low-voltage (LV) distribution networks. Energy…

Battery Stress Factor Ranking for Accelerated Degradation Test Planning Using Machine Learning

Saurabh Saxena; Darius Roman; Valentin Robu et al.

Energies, Vol. 14 No. 3 · 2021 · English · DOAJ Scopus

Lithium-ion batteries power numerous systems from consumer electronics to electric vehicles, and thus undergo qualification testing for degradation assessment prior to deployment. Qualification testing involves repeated charge–discharge operation of the batteries, which can take more than three…

Improving the Efficiency of Renewable Energy Assets by Optimizing the Matching of Supply and Demand Using a Smart Battery Scheduling Algorithm

Philippe de Bekker; Sho Cremers; Sonam Norbu et al.

Energies, Vol. 16 No. 5 · 2023 · English · DOAJ Scopus

Given the fundamental role of renewable energy assets in achieving global temperature control targets, new energy management methods are required to efficiently match intermittent renewable generation and demand. Based on analysing various designed cases, this paper explores a number of heuristics…

AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments

Lucas Kirschbaum; Darius Roman; Gulshan Singh et al.

IEEE Access, Vol. 8 · 2020 · English · DOAJ Scopus

Downhole tools are complex electro-mechanical systems that perform critical functions in drilling operations. The electronics within these systems provide vital support, such as control, navigation and front-end data analysis from sensors. Due to the extremely challenging operating conditions…

Scalable reinforcement learning for large-scale coordination of electric vehicles using graph neural networks

Stavros Orfanoudakis; Valentin Robu; E. Mauricio Salazar et al.

Communications Engineering, Vol. 4 No. 1 · 2025 · English · DOAJ Scopus

Abstract As the adoption of electric vehicles (EVs) accelerates, addressing the challenges of large-scale, city-wide optimization becomes critical in ensuring efficient use of charging infrastructure and maintaining electrical grid stability. This study introduces EV-GNN, a novel graph-based…

Bayesian learning for the robust verification of autonomous robots

Xingyu Zhao; Simos Gerasimou; Radu Calinescu et al.

Communications Engineering, Vol. 3 No. 1 · 2024 · English · DOAJ Scopus

Abstract Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments. As such, they must continually verify their ability to complete the tasks associated with these missions safely and effectively. Here we present a…

Automated Negotiation for Peer-to-Peer Electricity Trading in Local Energy Markets

Christie Etukudor; Benoit Couraud; Valentin Robu et al.

Energies, Vol. 13 No. 4 · 2020 · English · DOAJ Scopus

Reliable access to electricity is still a challenge in many developing countries. Indeed, rural areas in sub-Saharan Africa and developing countries such as India still encounter frequent power outages. Local energy markets (LEMs) have emerged as a low-cost solution enabling prosumers with power…

Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot Modelling

Merlinda Andoni; Valentin Robu; Benoit Couraud et al.

IEEE Access, Vol. 9 · 2021 · English · DOAJ Scopus

With increasing decarbonisation and accessibility to our energy systems and markets, there is a need to understand and optimise the value proposition for different stakeholders. Game-theoretic models represent a promising approach to study strategic interactions between self-interested private…

Prediction of voltage distribution using deep learning and identified key smart meter locations

Maizura Mokhtar; Valentin Robu; David Flynn et al.

Energy and AI, Vol. 6 · 2021 · English · DOAJ Scopus

The energy landscape for the Low-Voltage (LV) networks is undergoing rapid changes. These changes are driven by the increased penetration of distributed Low Carbon Technologies, both on the generation side (i.e. adoption of micro-renewables) and demand side (i.e. electric vehicle charging). The…

Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications

Fateme Dinmohammadi; David Flynn; Chris Bailey et al.

IEEE Access, Vol. 7 · 2019 · English · DOAJ Scopus

Subsea power cables are critical assets within the distribution and transmission infrastructure of electrical networks. Over the past two decades, the size of investments in subsea power cable installation projects has been growing significantly. However, the analysis of historical failure data…

Blockchain technologies empowering peer‐to‐peer trading in multi‐energy systems: From advanced technologies towards applications

Weiqi Hua; Fengji Luo; Liang Du et al.

IET Smart Grid, Vol. 5 No. 4 · 2022 · English · DOAJ Scopus

Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

Daniel Mitchell; Jamie Blanche; Osama Zaki et al.

IEEE Access, Vol. 9 · 2021 · English · DOAJ Scopus

To reduce Operation and Maintenance (O&M) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, the offshore wind sector looks to advances in Robotics and Artificial Intelligence (RAI) for solutions. Barriers to residential Beyond Visual Line of Sight (BVLOS)…

A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

Daniel Mitchell; Jamie Blanche; Sam Harper et al.

Energy and AI, Vol. 8 · 2022 · English · DOAJ Scopus

The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy…