Browsing by Subject "Demand response"

Now showing items 1-6 of 6

    • Deep reinforcement learning for home energy management system control 

      Lissa, Paulo; Deane, Conor; Schukat, Michael; Seri, Federico; Keane, Marcus; Barrett, Enda (Elsevier, 2021-12-26)
      The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant ...

    • Impact of source variability on flexibility for demand response 

      O'Connell, Sarah; Reynders, Glenn; Keane, Marcus M. (Elsevier, 2021-08-05)
      This paper assesses the quality of the services provided for demand response by analysing the results of experimental work activating flexible sources in buildings, while evaluating the impacts on occupant comfort and ...

    • An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands 

      Ayón, X.; Gruber, Jorn K.; Hayes, Barry P.; Usaola, J.; Prodanović, M. (Elsevier, 2017-04-26)
      The increasing trends of energy demand and renewable integration call for new and advanced approaches to energy management and energy balancing in power networks. Utilities and network system operators require more assistance ...

    • A standardised flexibility assessment methodology for demand response 

      O’Connell, Sarah; Reynders, Glenn; Seri, Federico; Sterling, Raymond; Keane, Marcus M. (Emerald, 2019-05-30)
      Purpose The purpose of this paper is to present a standardised four-step flexibility assessment methodology for evaluating the available electrical load reduction or increase a building can provide in response to a signal ...

    • A survey of reliability assessment techniques for modern distribution networks 

      Escalera, Alberto; Hayes, Barry; Prodanovic, Milan (Elsevier, 2018-04-14)
      Reliability assessment tools are of crucial importance for planning and modernisation of distribution power systems. In recent years there has been an increased deployment of renewable energy, distributed generation, energy ...

    • Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency 

      Lissa, Paulo; Schukat, Michael; Keane, Marcus M.; Barrett, Enda (Elsevier, 2021-09-11)
      Domestic hot water accounts for approximately 15% of the total residential energy consumption in Europe, and most of this usage happens during specific periods of the day, resulting in undesirable peak loads. The increase ...