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Applications of distributed machine learning for the internet-of-things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
A survey on microgrid flexibility resources, evaluation metrics and energy storage effects
One crucial requirement for power systems is the necessity to enhance flexibility, enabling
the seamless integration of a substantial amount of renewable energy generation. While …
the seamless integration of a substantial amount of renewable energy generation. While …
Optimizing a microgrid photovoltaic-fuel cell energy system at the highest renewable fraction
The current research examined the usage of fuel cells as an energy storage unit to increase
renewable energy self-consumption in microgrid energy system applications. The studied …
renewable energy self-consumption in microgrid energy system applications. The studied …
Artificial intelligence for hosting capacity analysis: A systematic literature review
MT Islam, MJ Hossain - Energies, 2023 - mdpi.com
Distribution network operators face technical and operational challenges in integrating the
increasing number of distributed energy resources (DER) with the distribution network. The …
increasing number of distributed energy resources (DER) with the distribution network. The …
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
The widespread introduction of functionally-smart inverters will be an indispensable factor
for the large-scale penetration of distributed energy resources (DERs) via the power system …
for the large-scale penetration of distributed energy resources (DERs) via the power system …
DER control and management strategies for distribution networks: A review of current practices and future directions
It is widely recognised that improving the visibility and controllability of distributed energy
resources (DERs) within electricity distribution networks will have significant benefits …
resources (DERs) within electricity distribution networks will have significant benefits …
A critical review of safe reinforcement learning techniques in smart grid applications
The high penetration of distributed energy resources (DERs) in modern smart power
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …
Hosting capacity assessment strategies and reinforcement learning methods for coordinated voltage control in electricity distribution networks: A review
Increasing connection rates of rooftop photovoltaic (PV) systems to electricity distribution
networks has become a major concern for the distribution network service providers …
networks has become a major concern for the distribution network service providers …
[HTML][HTML] A multi-agent reinforcement learning method for cooperative secondary voltage control of microgrids
T Wang, S Ma, Z Tang, T **ang, C Mu, Y ** - Energies, 2023 - mdpi.com
This paper proposes a novel cooperative voltage control strategy for an isolated microgrid
based on the multi-agent advantage actor-critic (MA2C) algorithm. The proposed method …
based on the multi-agent advantage actor-critic (MA2C) algorithm. The proposed method …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …