Michael D. Murphy

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Electricity Consumption

Intelligent Software

Multiple Linear Regression

Machine Learning

Top Venues

Comput. Electron. Agric.

Publications

Fergal Buckley, John Upton, Ryan Prendergast, Laurence Shalloo, Michael D. Murphy
Farm electricity system simulator (FESS): A platform for simulating electricity utilisation on dairy farms. Comput. Electron. Agric. 221 (2024)
Markus Fleschutz, Daniel Bull, Marco Braun, Michael D. Murphy
Impact of Landing Interruptions on the Optimal Design and Operation of Green Hydrogen Hubs. ISGT EUROPE (2023)
Markus Fleschutz, Markus Bohlayer, Marco Braun, Michael D. Murphy
From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company. CoRR (2023)
Philip Shine, Michael D. Murphy
Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study. Sensors 22 (1) (2022)
Markus Fleschutz, Michael D. Murphy
elmada: Dynamic electricity carbon emission factors and prices for Europe. J. Open Source Softw. 6 (66) (2021)
Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices. CoRR (2020)
Darren J. Murphy, B. O' Brien, Michael D. Murphy
Development of a grass measurement optimisation tool to efficiently measure herbage mass on grazed pastures. Comput. Electron. Agric. 178 (2020)
M. Breen, John Upton, Michael D. Murphy
Development of a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND). Comput. Electron. Agric. 156 (2019)
Fan Zhang, John Upton, Laurence Shalloo, Michael D. Murphy
Effect of parity weighting on milk production forecast models. Comput. Electron. Agric. 157 (2019)
Philip Shine, T. Scully, John Upton, Michael D. Murphy
Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms. Comput. Electron. Agric. 148 (2018)
Philip Shine, Michael D. Murphy, John Upton, T. Scully
Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms. Comput. Electron. Agric. 150 (2018)
Fan Zhang, Michael D. Murphy, Laurence Shalloo, Elodie Ruelle, John Upton
An automatic model configuration and optimization system for milk production forecasting. Comput. Electron. Agric. 128 (2016)