E-LIB Suche - Ergebnisse für: Brayshaw, David J.

1

Meteorological drivers of resource adequacy failures in cur..:

Sundar, Srihari ; Craig, Michael T. ; Payne, Ashley E...
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

2

A new framework for using weather‐sensitive surplus power r..:

Fallon, James ; Brayshaw, David ; Methven, John..
Meteorological Applications. 30 (2023) 6 - p. , 2023

Link: https://doi.org/10.1002/..

3

Reducing climate risk in energy system planning: A posterio..:

Hilbers, Adriaan P. ; Brayshaw, David J. ; Gandy, Axel
Applied Energy. 334 (2023) - p. 120624 , 2023

Link: https://doi.org/10.1016/..

4

Towards a future-proof climate database for European energy..:

Dubus, Laurent ; Brayshaw, David J ; Huertas-Hernando, Daniel...
Environmental Research Letters. 17 (2022) 12 - p. 121001 , 2022

Link: https://doi.org/10.1088/..

5

Understanding Climate Risk in Future Energy Systems: An Ene..:

Fallon, James C. ; Bloomfield, Hannah C. ; Brayshaw, David J....
Bulletin of the American Meteorological Society. 103 (2022) 5 - p. E1321-E1329 , 2022

Link: https://doi.org/10.1175/..

6

Predictive Skill of Teleconnection Patterns in Twentieth Ce..:

Schuhen, Nina ; Schaller, Nathalie ; Bloomfield, Hannah C....
Geophysical Research Letters. 49 (2022) 11 - p. , 2022

Link: https://doi.org/10.1029/..

7

A simplified seasonal forecasting strategy, applied to wind..:

Bett, Philip E. ; Thornton, Hazel E. ; Troccoli, Alberto...
Climate Services. 27 (2022) - p. 100318 , 2022

Link: https://doi.org/10.1016/..

8

Comparing Generator Unavailability Models with Empirical Di..:

, In: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS),

Deakin, Matthew ; Greenwood, David ; Brayshaw, David J.. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

9

Capacity Value of Interconnectors for Resource Adequacy Ass..:

, In: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS),

Greenwood, David M. ; Deakin, Matthew ; Sarantakos, Ilias.. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

10

Hourly historical and near-future weather and climate varia..:

Bloomfield, Hannah C. ; Brayshaw, David J. ; Deakin, Matthew.
Earth System Science Data. 14 (2022) 6 - p. 2749-2766 , 2022

Link: https://doi.org/10.5194/..

11

Sub-seasonal forecasts of demand and wind power and solar p..:

Bloomfield, Hannah C. ; Brayshaw, David J. ; Gonzalez, Paula L. M..
Earth System Science Data. 13 (2021) 5 - p. 2259-2274 , 2021

Link: https://doi.org/10.5194/..

12

Pattern‐based conditioning enhances sub‐seasonal prediction..:

Bloomfield, Hannah C. ; Brayshaw, David J. ; Gonzalez, Paula L. M..
Meteorological Applications. 28 (2021) 4 - p. , 2021

Link: https://doi.org/10.1002/..

13

Mitigating a century of European renewable variability with..:

Wohland, Jan ; Brayshaw, David ; Pfenninger, Stefan
Environmental Research Letters. 16 (2021) 6 - p. 064026 , 2021

Link: https://doi.org/10.1088/..

14

A new approach to extended‐range multimodel forecasting: Se..:

Gonzalez, Paula L. M. ; Brayshaw, David J. ; Ziel, Florian
Quarterly Journal of the Royal Meteorological Society. 147 (2021) 741 - p. 4269-4282 , 2021

Link: https://doi.org/10.1002/..

15

Interannual weather variability and the challenges for Grea..:

Coker, Phil J. ; Bloomfield, Hannah C. ; Drew, Daniel R..
Renewable Energy. 150 (2020) - p. 509-522 , 2020

Link: https://doi.org/10.1016/..