[HTML][HTML] Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …
considered as “black boxes”, since it is very difficult to understand how such models operate …
[HTML][HTML] An overview of machine learning applications for smart buildings
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …
challenged by unpredicted changes in operational environments due to climate change and …
Demand side management in microgrid: A critical review of key issues and recent trends
D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …
handling the uncertain renewable power generation and load. The flat load-profile can be …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
[HTML][HTML] Ocean energy applications for coastal communities with artificial intelligencea state-of-the-art review
Y Zhou - Energy and AI, 2022 - Elsevier
Ocean energy plays essential roles in reducing carbon emission and transforming towards
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …
[HTML][HTML] A reinforcement learning approach to home energy management for modulating heat pumps and photovoltaic systems
L Langer, T Volling - Applied Energy, 2022 - Elsevier
Buildings are one of the main drivers of global energy consumption and CO 2 emissions.
Efficient energy management systems will have to integrate renewable energy sources with …
Efficient energy management systems will have to integrate renewable energy sources with …
[HTML][HTML] An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach
Occupants' behavior is a major source of uncertainty for the optimal operation of building
energy systems. The highly stochastic hot water use behavior of occupants has led to …
energy systems. The highly stochastic hot water use behavior of occupants has led to …
[HTML][HTML] A survey of efficient demand-side management techniques for the residential appliance scheduling problem in smart homes
The residential sector is a major contributor to the global energy demand. The energy
demand for the residential sector is expected to increase substantially in the next few …
demand for the residential sector is expected to increase substantially in the next few …
[HTML][HTML] Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy …
When it comes to residential buildings, there are several stochastic parameters, such as
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
Distributed reinforcement learning energy management approach in multiple residential energy hubs
M Ahrarinouri, M Rastegar, K Karami… - Sustainable Energy, Grids …, 2022 - Elsevier
Energy management optimization in residential buildings plays an essential role in
addressing the problem of energy crisis in the world. This paper introduces a novel method …
addressing the problem of energy crisis in the world. This paper introduces a novel method …