[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
An overview on power quality issues and control strategies for distribution networks with the presence of distributed generation resources
Power systems based on centralized production are facing two limitations: the lack of fossil
fuels and the need to reduce pollution; Therefore, the importance of distributed generation …
fuels and the need to reduce pollution; Therefore, the importance of distributed generation …
SAARC super smart grid: Navigating the future-unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region
The major problems in the power system network of the South Asian Association for
Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels …
Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels …
Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects
With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …
more complicated power system with high uncertainty is gradually formed, which brings …
[HTML][HTML] Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques
SB Slama - Ain Shams Engineering Journal, 2022 - Elsevier
Smart Grid technology has been considered an attractive research issue due to its efficiency
in solving energy demand, storage, and power transmission. The integration of IoT …
in solving energy demand, storage, and power transmission. The integration of IoT …
Exploiting blockchain to make AI trustworthy: A software development lifecycle view
P Zhang, S Ding, Q Zhao - ACM Computing Surveys, 2024 - dl.acm.org
Artificial intelligence (AI) is a very powerful technology and can be a potential disrupter and
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …
Blockchain: Future of e-governance in smart cities
In recent times, Blockchain has emerged as a transformational technology with the ability to
disrupt and evolve multiple domains. As a decentralized, immutable distributed ledger …
disrupt and evolve multiple domains. As a decentralized, immutable distributed ledger …
A discount-based time-of-use electricity pricing strategy for demand response with minimum information using reinforcement learning
Demand Response (DR) programs show great promise for energy saving and load profile
flattening. They bring about an opportunity for indirect control of end-users' demand based …
flattening. They bring about an opportunity for indirect control of end-users' demand based …
Electricity price prediction for energy storage system arbitrage: A decision-focused approach
Electricity price prediction plays a vital role in energy storage system (ESS) management.
Current prediction models focus on reducing prediction errors but overlook their impact on …
Current prediction models focus on reducing prediction errors but overlook their impact on …
[HTML][HTML] Minimizing pricing policies based on user load profiles and residential demand responses in smart grids
This paper considers the time of use (TOU) pricing scheme to propose a consumer aware
pricing policy (CAPP), where each customer receives a separate electricity pricing signal …
pricing policy (CAPP), where each customer receives a separate electricity pricing signal …