Michael D. Murphy

According to our database, Michael D. Murphy authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Farm electricity system simulator (FESS): A platform for simulating electricity utilisation on dairy farms.

Fergal Buckley, John Upton, Ryan Prendergast, Laurence Shalloo, Michael D. Murphy

Comput. Electron. Agric., 2024

2023

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company.

Markus Fleschutz, Markus Bohlayer, Marco Braun, Michael D. Murphy

CoRR, 2023

Impact of Landing Interruptions on the Optimal Design and Operation of Green Hydrogen Hubs.

Markus Fleschutz, Daniel Bull, Marco Braun, Michael D. Murphy

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022

Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.

Philip Shine, Michael D. Murphy

Sensors, 2022

2021

elmada: Dynamic electricity carbon emission factors and prices for Europe.

Markus Fleschutz, Michael D. Murphy

J. Open Source Softw., 2021

2020

The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices.

Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy

CoRR, 2020

Development of a grass measurement optimisation tool to efficiently measure herbage mass on grazed pastures.

Darren J. Murphy, B. O' Brien, Michael D. Murphy

Comput. Electron. Agric., 2020

2019

Effect of parity weighting on milk production forecast models.

Fan Zhang, John Upton, Laurence Shalloo, Michael D. Murphy

Comput. Electron. Agric., 2019

Development of a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND).

M. Breen, John Upton, Michael D. Murphy

Comput. Electron. Agric., 2019

2018

Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms.

Philip Shine, T. Scully, John Upton, Michael D. Murphy

Comput. Electron. Agric., 2018

Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms.

Philip Shine, Michael D. Murphy, John Upton, T. Scully

Comput. Electron. Agric., 2018

2016

An automatic model configuration and optimization system for milk production forecasting.

Fan Zhang, Michael D. Murphy, Laurence Shalloo, Elodie Ruelle, John Upton

Comput. Electron. Agric., 2016