David Flynn
University of Glasgow(GB)
Publications by Year
Research Areas
Big Data and Business Intelligence, Smart Grid Energy Management, Advanced Battery Technologies Research, Low-power high-performance VLSI design, Electric Vehicles and Infrastructure
Most-Cited Works
- → Blockchain technology in the energy sector: A systematic review of challenges and opportunities(2018)2,307 cited
- → Machine learning methods for wind turbine condition monitoring: A review(2018)779 cited
- → Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review(2020)595 cited
- → Machine learning pipeline for battery state-of-health estimation(2021)542 cited
- → Low Power Methodology Manual: For System-on-Chip Design(2007)448 cited
- → Smart contracts in energy systems: A systematic review of fundamental approaches and implementations(2022)216 cited
- → DFS(2010)179 cited
- → AMBA: enabling reusable on-chip designs(1997)158 cited
- → Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis(2021)132 cited
- → Beyond block I/O: Rethinking traditional storage primitives(2011)120 cited