Reinforcement learning techniques for optimal power control in grid-connected microgrids: A comprehensive review
Utility grids are undergoing several upgrades. Distributed generators that are supplied by
intermittent renewable energy sources (RES) are being connected to the grids. As RES get …
intermittent renewable energy sources (RES) are being connected to the grids. As RES get …
[HTML][HTML] Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances
S Van Der Stelt, T AlSkaif, W Van Sark - Applied Energy, 2018 - Elsevier
Abstract The emergence of Decentralized Energy Resources (DERs) and rising electricity
demand are known to cause grid instability. Additionally, recent policy developments …
demand are known to cause grid instability. Additionally, recent policy developments …
[HTML][HTML] A systematic analysis of meteorological variables for PV output power estimation
While the large-scale deployment of photovoltaics (PV) for generating electricity plays an
important role to mitigate global warming, the variability of PV output power poses …
important role to mitigate global warming, the variability of PV output power poses …
[HTML][HTML] Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential
As the share of renewable energy sources in the energy mix is increasing, new challenges
arise regarding the grid integration. This research focuses on a solution for one of these …
arise regarding the grid integration. This research focuses on a solution for one of these …
Design of structured control policy for shared energy storage in residential community: A stochastic optimization approach
For energy storage shared by multiple residential consumers who are using electricity based
on time-varying price and equipped with solar photovoltaic panels, this study is motivated to …
on time-varying price and equipped with solar photovoltaic panels, this study is motivated to …
Reinforcement learning approaches to power management in grid-tied microgrids: A review
Modern power systems are characterized by bidirectional power flows, smart metering
schemes capable of net metering applications and several renewable energy-based …
schemes capable of net metering applications and several renewable energy-based …
[HTML][HTML] Assessment of forecasting methods on performance of photovoltaic-battery systems
Photovoltaic (PV) systems are increasingly deployed on buildings in urban areas, causing
additional power flows and frequency fluctuation on the low voltage electricity grid. Control …
additional power flows and frequency fluctuation on the low voltage electricity grid. Control …
[PDF][PDF] The current state of research on energy communities.
The introduction of the Clean energy for all Europeans package by the European Union
(EU) led to a significant boost of public and research interest in energy communities …
(EU) led to a significant boost of public and research interest in energy communities …
Machine learning techniques for improving self-consumption in renewable energy communities
Renewable Energy Communities consist in an emerging decentralized market mechanism
which allows local energy exchanges between end-users, bypassing the traditional …
which allows local energy exchanges between end-users, bypassing the traditional …
Solar irradiance forecasting using triple exponential smoothing
Owing to the growing concern of global warming and over-dependence on fossil fuels, there
has been a huge interest in last years in the deployment of Photovoltaic (PV) systems for …
has been a huge interest in last years in the deployment of Photovoltaic (PV) systems for …