5 papers
A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs
Alberto Pliego Marugán, Jesús M. Pinar-Pérez, Fausto Pedro GarcÃa Márquez
Efficient maintenance has always been essential for the successful application of engineering systems. However, the challenges to be overcome in the implementation of Industry 4.0…
Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme
J. N. Sabhahit, S. S. Solanke, V. K. Jadoun +3
After over a century of internal combustion engines ruling the transport sector, electric vehicles appear to be on the verge of gaining traction due to a slew of advantages, includ…
Market proliferation and the impact of locational complexity on network restructuring
J. M. Pinar-Pérez, D. Ruiz-Hernández, M. B. C. Menezes
This manuscript investigates the problem of locational complexity, a type of complexity that emanates from a companys territorial strategy. Using an entropy-based measure for suppl…
Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India
Hasmat Malik, Amit Kumar Yadav, Fausto Pedro GarcÃa Márquez +1
Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires predic…
Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach
Diego Ruiz-Hernandez, Jesús MarÃa Pinar-Pérez, David Delgado-Gómez
In this paper we address the problem of allocating the efforts of a collection of repairmen to a number of deteriorating machines in order to reduce operation costs and to mitigate…