Last updated: 23 June 2021.
A more complete list can be found on Google Scholar.
In many cases I have included PDF versions (sometimes of pre-publication drafts). In some cases I am only allowed to add the link to the publisher and the paper may be obtained from them.
For any missing publications or broken links, please don’t hesitate to email me.
2021
Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation
ICML Workshop: Tackling Climate Change with Machine Learning
Feasibility and performance analysis of hybrid ground source heat pump systems in fourteen cities
Energy
2020
Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities
ACM e-Energy 2020
Adaptive Control Using Machine Learning for Distributed Storage in Microgrids
Workshop on Energy Storage, ACM e-Energy 2020
Continuous Near-Optimal Control of Energy Storage Systems
In Proceedings of IFAC World Congress 2020
Controlling DC Microgrids in Communities, Buildings and Data Centers
IET Smart Grid
Hybrid Edge-Cloud based Ensemble Learning for Forecasting Occupancy of Open-plan Offices
Workshop on AIoT at KDD 2020
2019
Data Visualization and Forecast Combination for Probabilistic Load Forecasting in GEFCom2017 Final Match
International Journal of Forecasting. Volume 35, 2019, pages 1451-1459.
Rooftop Solar Photovoltaic Power Forecasting Using Characteristic Generation Profiles (Poster)
In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy ’19). ACM, New York, NY, USA, 376-377.
Microgrid Design: A Piecewise Linear Approach (Poster)
In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy ’19). ACM, New York, NY, USA, 388-390.
Experimental Platform for Measuring the Impacts of Different Charging Strategies on Battery Degradation (Poster)
In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy ’19). ACM, New York, NY, USA, 367-369.
2018
Quantile Regression Neural Network for Energy Demand Forecasting
Submitted to Special Issue on GEFCom2017, International Journal of Forecasting, 31 Dec. 2017. Under review.
BibTeX | PDF | Link
Scheduling Fast Local Rule-Based Controllers for Optimal Operation of Energy Storage
In Proceedings of ACM E-Energy, Karlsruhe, Germany, June 2018 (Notes paper) Won Best Presentation
BibTeX | PDF | Link
Consensus only control in DC Microgrids
In Proceedings of ACM E-Energy, Karlsruhe, Germany, June 2018 (Poster).
BibTeX | PDF | Link
Overcoming the Impact of Clock Drifts on Power Sharing for Microgrids
In Proceedings of the IEEE Power and Energy Society General Meeting. Portland, USA, August 2018 (Poster).
BibTeX | PDF | Link
Optimizing the Operation of a Hybrid Solar Assisted Ground Source Heat Pump System
In Proceedings of the IEEE International Conference on Information and Automation for Sustainability. Colombo, Sri Lanka, December 2018.
BibTeX | PDF | Link
Life Cycle Cost Optimization of a Solar Assisted Ground Source Heat Pump
In Proceedings of the IEEE Power and Energy Society General Meeting. Portland, USA, August 2018.
BibTeX | PDF | Link
Model Predictive Control for a Solar Assisted Ground Source Heat Pump System
Energy
Stability and Active Power Sharing in Droop Controlled Inverter Interfaced Microgrids: Effect of Clock Mismatches
Automatica. Volume 93, July 2018, Pages 469-475
“I had super-powers when eBike riding”: Towards Understanding the Design of Integrated Exertion
ACM CHIPLAY’18, Melbourne, Australia, Oct. 2018. To appear.
BibTeX | PDF | Link
2017
Multi-resolution Dynamic Programming for the Receding Horizon Control of Energy Storage
IEEE Transactions on Sustainable Energy. Accepted, to appear.
Siting and Sizing Distributed Storage for Microgrid Applications
In Proceedings of IEEE SmartGridComm 2017. Dresden, Germany, October 2017.
An IoT Solution for Optimal Energy Storage Operation
In Workshop on AI for Internet of Things, IJCAI 2017. Melbourne, Australia, August 2017.
Power Sharing in Angle Droop Controlled Microgrids
IEEE Transactions on Power Systems. Volume 32, Issue 6, Nov. 2017.
The Importance of Temporal Resolution in Evaluating Residential Energy Storage
In Proceedings of the IEEE Power and Energy Society General Meeting. Chicago, USA, July 2017.
2016
Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation
IEEE Transactions on Smart Grid.
Integrating Data-Driven Forecasting and Optimization to Improve the Operation of Distributed Energy Storage
In Proceedings of IEEE 14th International Conference on Smart City. Sydney, Australia, December 2016. Won Best Student Paper.
Accounting for Forecast Uncertainty in the Optimized Operation of Energy Storage
In Proceedings of IEEE Innovative Smart Grid Technologies (ISGT) Conference – Asia. Melbourne, Australia, November 2016.
Interconnecting Fog Computing and Microgrids for Greening IoT
In Proceedings of IEEE Innovative Smart Grid Technologies (ISGT) Conference – Asia. Melbourne, Australia, November 2016.
Exploring Human – eBike Interaction to Support Rider Autonomy
In Proceedings of the ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY). Austin, Texas, USA, October 2016.
Making batteries viable: Boosting the value of storage
Renew Magazine, September 2016, Issue 136
2015
Optimal Charging of Electric Vehicles Taking Distribution Network Constraints Into Account
IEEE Transactions on Power Systems. Volume 30, Issue 1, Jan. 2015.
A Market Mechanism for Electric Vehicle Charging Under Network Constraints
IEEE Transactions on Smart Grid. Volume 7, Issue 2, March 2016.
Local Measurements and Virtual Pricing Signals for Residential Demand Side Management
Sustainable Energy, Grids and Networks. Vol. 4, Dec. 2015, Pages 62-71.
A Comparative Testing Study of Commercial 18650-Format Lithium-Ion Battery Cells
Journal of The Electrochemical Society, 162 (8) A1592-A1600 (2015)
The role of electric vehicles in demand response: Implementation, network impacts, and market requirements
International Journal of Electric and Hybrid Vehicles (IJEHV), Vol. 7, No. 3, 2015
Modelling Voltage-Demand Relationship on Power Distribution Grid for Distributed Demand Management
In Proceedings of the Australian Control Conference (AUCC). Gold Coast, Australia, 2015.
A Multi-Factor Battery Life Prediction Methodology for Optimal Battery Management
In Proceedings of ACM e-Energy. Bangalore, India, July 2015.
PV Generation and Demand Mismatch: Evaluating the Potential of Residential Storage
In Proceedings of IEEE Conference on Innovative Smart Grid Technologies (ISGT). Washington DC, USA, February 2015.
Power Sharing Correction in Angle Droop Controlled Inverter Interfaced Microgrids
In Proceedings of the IEEE Power and Energy Society General Meeting. Denver, Colorado, USA, July 2015.
2014
On making energy demand and network constraints compatible in the last mile of the power grid
Annual Reviews in Control.
BibTeX | PDF | Link (ScienceDirect)
The Importance of Spatial Distribution when Analysing the Impact of Electric Vehicles on Voltage Stability in Distribution Networks
Energy Systems.
BibTeX | PDF | Link (SpringerLink)
Affordable batteries for green energy are closer than we think
The Conversation. Online, 23 July 2014. Accessed 24 July 2014.
BibTeX | PDF | Link (The Conversation)
Electric vehicles and the grid: How EVs affect demand management
Renew Magazine. Online, 17 September 2014. Accessed 20 September 2014.
BibTeX | PDF | Link (Renew Magazine)
On the Effect of Component Mismatches in Inverter Interfaced Microgrids
In Proceedings of the Australasian University Power Engineering Conference (AUPEC). Perth, Australia, September 2014.
Analysis of Constraints for Optimal Electric Vehicle Charging
In Proceedings of IFAC World Congress 2014. Cape Town, South Africa, August 2014.
Battery Management using Secondary Loads: A Novel Integrated Approach
In Proceedings of IFAC World Congress 2014. Cape Town, South Africa, August 2014.
Electric Vehicle Charging: A Noncooperative Game Using Local Measurements
In Proceedings of IFAC World Congress 2014. Cape Town, South Africa, August 2014.
A Distributed Greedy Fair Charging Algorithm for Electric Vehicles Demand Management using Only Local Measurements
In Proceedings of IEEE Conference on Innovative Smart Grid Technologies (ISGT). Washington DC, USA, February 2014.
2013
Grid-Friendly Charging: How Electric Vehicles Can Benefit Everybody
In Metering International, Issue 3, 2013, pages 130-134
Demonstrating Demand Management: How Intelligent EV Charging Can Benefit Everyone
In Proceedings of EVS27, the 27th International Electric Vehicle Symposium and Exhibition. Barcelona, Spain, November 2013.
Time Preference for Information in Multi-Agent Exploration with Limited Communication
In Proceedings of TAROS (Towards Autonomous Robotic Systems). Oxford, UK, August 2013.
Electric Vehicle Charging and Grid Constraints: Comparing Distributed and Centralized Approaches
In Proceedings of the IEEE Power and Energy Society General Meeting. Vancouver, Canada, July 2013. Nominated for Best Paper.
Smart grids and electric vehicles: a quiet revolution
In Celebrating 100 years of ACE: The Association for Consultancy and Engineering’s Centenary Magazine.
Link (pp. 50-51)
Discussion of Multi-Robot Exploration in Communication-Limited Environments
In Workshop “Towards Fully Decentralized Multi-Robot Systems: Hardware, Software and Integration”, IEEE International Conference on Robotics and Automation (ICRA). Karlsruhe, Germany, May 2013.
Modeling and Validation of an Unbalanced LV Network Using Smart Meter and SCADA Inputs
In Proceedings of IEEE TENCON Spring Conference. Sydney, Australia, April 2013.
Modeling Reversible Self-Discharge in Series-Connected Li-ion Battery Cells
In Proceedings of IEEE TENCON Spring Conference. Sydney, Australia, April 2013.
2011
Role-Based Multi−Robot Exploration
PhD Thesis, Department of Computer Science, University of Oxford
Using Mobile Relays in Multi-Robot Exploration
In Proceedings of ACRA (Australian Conference on Robotics and Automation). Melbourne, Australia, December 2011.
Using Rendezvous to Overcome Communication Limitations in Multirobot Exploration
In Proceedings of SMC (IEEE International Conference on Systems, Man and Cybernetics). Anchorage, USA, October 2011.
Amsterdam Oxford Joint Rescue Forces − Team Description Paper − Virtual Robot competition − Rescue Simulation League − RoboCup 2011
In Proceedings CD of the 15th RoboCup Symposium. Istanbul, Turkey, July 2011.
2010
Autonomous Multi−Robot Exploration in Communication−Limited Environments
In Proceedings of TAROS (Towards Autonomous Robotic Systems). Plymouth, UK, September 2010.
BibTeX | PDF
Dynamic Team Hierarchies in Communication-Limited Multi-Robot Exploration
In Proceedings of SSRR (IEEE International Workshop on Safety, Security, and Rescue Robotics). Bremen, Germany, July 2010
Selection of Rendezvous Points for Multi-Robot Exploration in Dynamic Environments.
In Proceedings of AAMAS (Workshop on Agents in Realtime and Dynamic Environments, International Conference on Autonomous Agents and Multi-Agent Systems). Toronto, Canada, May 2010
2009
Role-Based Autonomous Multi-Robot Exploration
In Proceedings of COGNITIVE (International Conference on Advanced Cognitive Technologies and Applications). Athens, Greece, November 2009.
Integrating Automated Object Detection into Mapping in USARSim
In Proceedings of IROS (IEEE/RSJ International Conference on Intelligent Systems and Robots). St.Louis, USA, October 2009.
Amsterdam Oxford Joint Rescue Forces – Team Description Paper – Virtual Robot competition – Rescue Simulation League – RoboCup 2009
In Proceedings of the 13th RoboCup Symposium. Graz, Austria, July 2009.
2008
Robotic Search−and−Rescue: An Integrated Approach
In Proceedings of the Oxford University Computing Laboratory Student Conference. Oxford, UK, October 2008. (Won best presentation)
BibTeX | PDF
Amsterdam Oxford Joint Rescue Forces – Team Description Paper – Virtual Robot competition – Rescue Simulation League – RoboCup 2008
In Proceedings of the 12th RoboCup Symposium. Suzhou, China, July 2008.
2007
Machine Learning Techniques Applied to Multi−Agent Cooperation
MSc Thesis, Department of Computer Science, University of Oxford
BibTeX | PDF