Current filters:

Start a new search
Add filters:

Use filters to refine the search results.

Results 1-10 of 20
Item hits:
Issue DateTitleAuthor(s)
1-Feb-2019Probabilistic peak load estimation in smart cities using smart meter dataSun, M; Wang, Y; Strbac, G; Kang, C; London Power Networks PLC, et al
1-Jan-2019Whole-system assessment of the benefits of integrated electricity and heat systemZhang, X; Strbac, G; Shah, N; Teng, F; Pudjianto, D, et al
9-Jun-2019Assisting continuous biomanufacturing through advanced control in downstream purificationPapathanasiou, MM; Burnak, B; Katz, J; Shah, N; Pistikopoulos, EN, et al
1-Mar-2019The multiscale challenges of biomass fast pyrolysis and bio-oil upgrading: review of the state of art and future research directionsSharifzadeh, M; Sadeqzadeh, M; Nejadghaffar Borhani, T; Guo, M; Murthy Konda, NVSN, et al
1-Feb-2019Energy access through electricity storage: Insights from technology providers and market enablersFew, S; Schmidt, O; Gambhir, A; Economic & Social Research Council (ESRC); Engineering & Physical Science Research Council (E, et al
1-Jan-2019Data-driven power system operation: Exploring the balance between cost and riskCremer, J; Konstantelos, I; Tindemans, S; Strbac, G; Engineering & Physical Science Research Council (E
31-Dec-2019From optimization-based machine learning to interpretable security rules for operationCremer, J; Konstantelos, I; Strbac, G; Engineering & Physical Science Research Council (E; Engineering & Physical Science Research Council (E
13-Apr-2019Impact of future energy policy on water resources in KazakhstanRivotti, P; Karatayev, M; Mourao, ZS; Shah, N; Clarke, ML, et al
1-Jul-2019Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process RegressionSharifzadeh, M; Sikinioti-Lock, A; Shah, N; Engineering & Physical Science Research Council (E
1-Dec-2019The trade-off between tidal-turbine array yield and environmental impact: A habitat suitability modelling approachDu Feu, R; Funke, S; Kramer, S; Hill, J; Piggott, M, et al