All Outputs (3)

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.

Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom (2021)
Journal Article
Naghiyev, E., Shipman, R., Goulden, M., Gillott, M., & Spence, A. (2022). Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom. Energy Research and Social Science, 87, Article 102469. https://doi.org/10.1016/j.erss.2021.102469

The energy sector, and buildings in particular, are one of the main contributors to climate change. Demand-Side Management (DSM) has the potential to realise energy savings on the demand as well as the supply side. However, the domestic sector still... Read More about Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom.

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.