2023
Gibb, R., Madhavapeddy, A. and Crowcroft, J., 2023. Where on Earth is the Spatial Name System? Hotnets 2023 Proceedings of the 22nd ACM Workshop on Hot Topics in Networks,
Doi: 10.1145/3626111.3628210
Balmford, A., Brancalion, PHS., Coomes, D., Filewod, B., Groom, B., Guizar-Coutiño, A., Jones, JPG., Keshav, S., Kontoleon, A., Madhavapeddy, A., Malhi, Y., Sills, EO., Strassburg, BBN., Venmans, F., West, TAP., Wheeler, C. and Swinfield, T., 2023. Credit credibility threatens forests. Science, v. 380
Doi: 10.1126/science.adh3426
Balmford, A., Keshav, S., Venmans, F., Coomes, D., Groom, B., Madhavapeddy, A. and Swinfield, T., 2023. Realizing the social value of impermanent carbon credits Nature Climate Change, v. 13
Doi: 10.1038/s41558-023-01815-0
Virdee, M., Kaiser, M., Ek, CH., Shuckburgh, E. and Kazlauskaite, I., 2023. A locally time-invariant metric for climate model ensemble predictions of extreme risk Environmental Data Science, v. 2
Doi: http://doi.org/10.1017/eds.2023.13
2022 (Accepted for publication)
Summers, T., Mackie, E., Ueno, R., Simpson, C., Hosking, JS., Suciu, T., Coburn, A. and Shuckburgh, E., 2022 (Accepted for publication). Localised impacts and economic implications from high temperature disruption days under climate change Climate Resilience and Sustainability,
Doi: 10.1002/cli2.35
2022
Kazhamiaka, F., Ghiassi-Farrokhfal, Y., Keshav, S. and Rosenberg, C., 2022. Comparison of Different Approaches for Solar PV and Storage Sizing IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, v. 7
Doi: 10.1109/TSUSC.2019.2946246
Furner, R., Haynes, P., Munday, D., Paige, B., Jones, DC. and Shuckburgh, E., 2022. A sensitivity analysis of a regression model of ocean temperature Environmental Data Science, v. 1
Doi: 10.1017/eds.2022.10
Wang, X., Tang, G., Wang, Y., Keshav, S. and Zhang, Y., 2022. EVSense: A Robust and Scalable Approach to Non-Intrusive EV Charging Detection e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems,
Doi: 10.1145/3538637.3538860
Findeis, A., Kazhamiaka, F., Jeen, S. and Keshav, S., 2022. Beobench: A Toolkit for Unified Access to Building Simulations for Reinforcement Learning
Doi: 10.1145/3538637.3538866
Furner, R., Haynes, P., Jones, D., Munday, D., Paige, B. and Shuckburgh, E., 2022. Developing a data-driven ocean forecast system
Doi: http://doi.org/10.5194/egusphere-egu22-13228
Aussat, Y., Rosmanis, A. and Keshav, S., 2022. A power-efficient self-calibrating smart lighting system Energy and Buildings, v. 259
Doi: 10.1016/j.enbuild.2022.111874
Bajpai, V., Hohlfeld, O., Crowcroft, J., Keshav, S., Schulzrinne, H., Ott, J., Ferlin, S., Carle, G., Hines, A. and Raake, A., 2022. Recommendations for designing hybrid conferences Computer Communication Review, v. 52
Doi: 10.1145/3544912.3544920
Shuckburgh, E., 2022. Delivering net zero Ippr Progressive Review, v. 28
Doi: 10.1111/newe.12276
Wang, J., Chang, L., Abari, O. and Keshav, S., 2022. How Manufacturers Can Easily Improve Working Range of Passive RFIDs Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks Workshops, v. 2022-September
Doi: 10.1109/SECON55815.2022.9918572
Virdee, M., Kaiser, M., Shuckburgh, E., Ek, CH. and Kazlauskaite, I., 2022. Optimisation of a global climate model ensemble for prediction of extreme heat days. CoRR, v. abs/2211.16367
Thanigaivelan, V., Prithvy, S., Balachander, K., Santhanakrishnan, M. and Keshav, S., 2022. IOT Based Development of Helical VAWT Proceedings IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2022,
Doi: 10.1109/ACCAI53970.2022.9752605
Simpson, C., Hosking, J., Mitchell, D., Betts, R. and Shuckburgh, E., 2022. Regional disparities and seasonal differences in climate risk to rice labour
Doi: 10.31223/x5sw3n
2021
Ben, H., Mackie, E., Parry, I., Shuckburgh, E., Hawker, G. and Jenkins, MG., 2021. Targeting building energy efficiency using thermal infrared earth observation telescopes Journal of Physics Conference Series, v. 2042
Doi: 10.1088/1742-6596/2042/1/012001
Andersson, TR., Hosking, JS., Pérez-Ortiz, M., Paige, B., Elliott, A., Russell, C., Law, S., Jones, DC., Wilkinson, J., Phillips, T., Byrne, J., Tietsche, S., Sarojini, BB., Blanchard-Wrigglesworth, E., Aksenov, Y., Downie, R. and Shuckburgh, E., 2021. Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nat Commun, v. 12
Doi: 10.1038/s41467-021-25257-4
Mitra, A., Gorenflo, C., Golab, L. and Keshav, S., 2021. TimeFabric: Trusted time for permissioned blockchains OpenAccess Series in Informatics, v. 92
Doi: 10.4230/OASIcs.FAB.2021.4
