[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
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 …

An overview on power quality issues and control strategies for distribution networks with the presence of distributed generation resources

D Razmi, T Lu, B Papari, E Akbari, G Fathi… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

SAARC super smart grid: Navigating the future-unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region

A Raza, M Liaqat, M Adnan, MS Iqbal… - Computers and …, 2024 - Elsevier
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 …

Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects

Y Li, C Yu, M Shahidehpour, T Yang… - Proceedings of the …, 2023 - ieeexplore.ieee.org
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 …

[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 …

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 …

Blockchain: Future of e-governance in smart cities

A Khanna, A Sah, V Bolshev, M Jasinski, A Vinogradov… - Sustainability, 2021 - mdpi.com
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 …

A discount-based time-of-use electricity pricing strategy for demand response with minimum information using reinforcement learning

A Fraija, K Agbossou, N Henao, S Kelouwani… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Electricity price prediction for energy storage system arbitrage: A decision-focused approach

L Sang, Y Xu, H Long, Q Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Minimizing pricing policies based on user load profiles and residential demand responses in smart grids

MB Rasheed, MD R-Moreno - Applied Energy, 2022 - Elsevier
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 …