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The Role of Electric Vehicle Charging Technologies in the Decarbonisation of the Energy Grid (2022)
Journal Article
Waldron, J., Rodrigues, L., Gillott, M., Naylor, S., & Shipman, R. (2022). The Role of Electric Vehicle Charging Technologies in the Decarbonisation of the Energy Grid. Energies, 15(7), Article 2447. https://doi.org/10.3390/en15072447

Vehicle-to-grid (V2G) has been identified as a key technology to help reduce carbon emissions from the transport and energy sectors. However, the benefits of this technology are best achieved when multiple variables are considered in the process of c... Read More about The Role of Electric Vehicle Charging Technologies in the Decarbonisation of the Energy Grid.

We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network (2021)
Journal Article
Shipman, R., Roberts, R., Waldron, J., Naylor, S., Pinchin, J., Rodrigues, L., & Gillott, M. (2021). We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network. Energy, 221, Article 119813. https://doi.org/10.1016/j.energy.2021.119813

© 2021 Elsevier Ltd Vehicle-to-grid (V2G) services utilise a population of electric vehicle batteries to provide the aggregated capacity required to participate in power and energy markets. Such participation relies on the prediction of available cap... Read More about We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.

Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid (2020)
Journal Article
Shipman, R., Waldron, J., Naylor, S., Pinchin, J., Rodrigues, L., & Gillott, M. (2020). Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid. Energies, 13(8), https://doi.org/10.3390/en13081933

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Vehicle‐to‐... Read More about Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid.

Learning capacity: predicting user decisions for vehicle-to-grid services (2019)
Journal Article
Shipman, R., Naylor, S., Pinchin, J., Gough, R., & Gillott, M. (2019). Learning capacity: predicting user decisions for vehicle-to-grid services. Energy Informatics, 2(1), Article 37. https://doi.org/10.1186/s42162-019-0102-2

The electric vehicles (EV) market is projected to continue its rapid growth, which will profoundly impact the demand on the electricity network requiring costly network reinforcements unless EV charging is properly managed. However, as well as import... Read More about Learning capacity: predicting user decisions for vehicle-to-grid services.