Now showing items 1-2 of 2

    • 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 ...
    • 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 ...