Projects per year
Personal profile
Research Interests
+ Reliability Analysis
+ Decision Analysis
+ Probabilistic Modelling
+ Applied Statistics
Applications
+ Wind Energy
+ Asset Management
+ Energy Policy
+ Energy Security
Other areas of Interest
- Reliability Engineering
- Reliability Centred Maintenance
- Wind Turbine Safety Systems
- Operation and Maintenance Modelling
- Decision Analysis
- Probabilistic Modelling
Teaching Interests
- wind power forecasting
- distribution system load flow
- small group tutorials
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where David McMillan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
ETP KEN II: Enhanced Wind Turbine Service-Feasibility Study (£7,300) with Everoze
McMillan, D. (Principal Investigator)
Project: Knowledge Exchange
File -
Predictive maintenance for offshore wind turbines
Atkinson, R. (Principal Investigator), Andonovic, I. (Co-investigator), Cardona Amengual, J. (Co-investigator), Carroll, J. (Co-investigator), McMillan, D. (Co-investigator) & Tachtatzis, C. (Co-investigator)
Spartan Solutions Ltd, DATALAB (SFC Innovation Centre, administered by the University of Edinburgh)
1/05/22 → 31/10/22
Project: Research
-
Development of a combined operational and strategic decision support model for offshore wind
Dinwoodie, I., McMillan, D., Revie, M., Lazakis, I. & Dalgic, Y., Jan 2013. 1 p.Research output: Contribution to conference › Paper › peer-review
File118 Downloads (Pure) -
Operational strategies for offshore wind turbines to mitigate failure rate uncertainty on operational costs and revenue
Dinwoodie, I. A. & McMillan, D., 31 May 2014, In: IET Renewable Power Generation. 8, 4, p. 359–366 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Citations (Scopus)256 Downloads (Pure)
Datasets
-
Supplementary Material for: "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting" (Revised)
Gilbert, C. (Creator), Browell, J. (Creator) & McMillan, D. (Creator), University of Strathclyde, 23 May 2019
DOI: 10.15129/6b949176-4608-430c-b13c-b201afb921c4
Dataset
-
Supplementary Material for: "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting"
Gilbert, C. (Creator), Browell, J. (Creator) & McMillan, D. (Creator), University of Strathclyde, 2018
DOI: 10.15129/16283615-65e4-402d-8fe6-cc9916e37a74
Dataset
Prizes
-
Scottish Knowledge Exchange Awards: Multi–Party Collaboration Award
McMillan, D. (Recipient), Revie, M. (Recipient), McArthur, S. (Recipient), Bedford, T. (Recipient), Lazakis, I. (Recipient) & Day, A. (Recipient), 2016
Prize: Prize (including medals and awards)
Activities
-
COP26 Innovation Showcase - UK Universities Group
McMillan, D. (Member of programme committee) & Kay, T. (Member of programme committee)
1 Nov 2021 → 12 Nov 2021Activity: Participating in or organising an event types › Organiser of major conference
-
Wind Energy Science Conference 2021
McMillan, D. (Chair)
25 May 2021Activity: Participating in or organising an event types › Organiser of special symposia