A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

F Ahsan, NH Dana, SK Sarker, L Li… - … and Control of …, 2023 - ieeexplore.ieee.org
Meteorological changes urge engineering communities to look for sustainable and clean
energy technologies to keep the environment safe by reducing CO 2 emissions. The …

Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

A generalizable deep neural network method for detecting attacks in industrial cyber-physical systems

J Sakhnini, H Karimipour, A Dehghantanha… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Today's power systems utilize smart technology to improve the efficacy of power distribution.
Using cyber-physical components in the power system such as smart grids can introduce …

[HTML][HTML] A systematic review on the integration of artificial intelligence into energy management systems for electric vehicles: Recent advances and future perspectives

P Arévalo, D Ochoa-Correa, E Villa-Ávila - World Electric Vehicle Journal, 2024 - mdpi.com
This systematic review paper examines the current integration of artificial intelligence into
energy management systems for electric vehicles. Using the preferred reporting items for …

Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications

P Tam, I Song, S Kang, S Ros, S Kim - Electronics, 2022 - mdpi.com
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …

A survey on soft computing techniques for federated learning-applications, challenges and future directions

Y Supriya, TR Gadekallu - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …

Role of IoT technologies in big data management systems: A review and Smart Grid case study

AR Al-Ali, R Gupta, I Zualkernan, SK Das - Pervasive and Mobile …, 2024 - Elsevier
Abstract Empowered by Internet of Things (IoT) and cloud computing platforms, the concept
of smart cities is making a transition from conceptual models to development and …

The research agenda on smart grids: foresights for social acceptance

HND Senyapar, R Bayindir - Energies, 2023 - mdpi.com
The “smart grid”(SG) refers to an advanced electricity grid system that possesses the
capability to effectively co-ordinate the activities of all its connected users, encompassing …

Consumer attitudes toward energy reduction and changing energy consumption behaviors

G Rausser, W Strielkowski, G Mentel - Energies, 2023 - mdpi.com
This editorial paper tackles the issue of the consumer attitudes toward energy reduction and
changing energy consumption behaviors. This topic is of special relevance today as Europe …