Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …
autonomous software that optimizes decision-making and energy distribution operations …
[HTML][HTML] Trends in tools and approaches for modelling the energy transition
Energy system models are crucial to plan energy transition pathways and understand their
impacts. A vast range of energy system modelling tools is available, providing modelling …
impacts. A vast range of energy system modelling tools is available, providing modelling …
[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
[HTML][HTML] Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective
Demand-side flexibility will play a key role in reaching high levels of renewable generation
and making the transition to a more sustainable energy system. Indeed, end users can …
and making the transition to a more sustainable energy system. Indeed, end users can …
Progress on the demand side management in smart grid and optimization approaches
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
An overview of Demand Response: Key-elements and international experience
The increasing penetration of renewable energy sources (RES) in power systems intensifies
the need of enhancing the flexibility in grid operations in order to accommodate the …
the need of enhancing the flexibility in grid operations in order to accommodate the …
Review of energy system flexibility measures to enable high levels of variable renewable electricity
PD Lund, J Lindgren, J Mikkola, J Salpakari - Renewable and sustainable …, 2015 - Elsevier
The paper reviews different approaches, technologies, and strategies to manage large-scale
schemes of variable renewable electricity such as solar and wind power. We consider both …
schemes of variable renewable electricity such as solar and wind power. We consider both …
Home energy management system concepts, configurations, and technologies for the smart grid
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …
energy consumption and distributed renewable energy generation without compromising …
[HTML][HTML] Dynamic grid stability in low carbon power systems with minimum inertia
The power system transition to large penetrations of renewable generation has become a
core target of decarbonisation roadmaps in many countries. However, switching from …
core target of decarbonisation roadmaps in many countries. However, switching from …
[HTML][HTML] A review of socio-technical barriers to Smart Microgrid development
Abstract Smart MicroGrids (SMGs) can be seen as a promising option when it comes to
addressing the urgent need for sustainable transition in electric systems from the current …
addressing the urgent need for sustainable transition in electric systems from the current …