Review on deep learning applications in frequency analysis and control of modern power system

Y Zhang, X Shi, H Zhang, Y Cao, V Terzija - International Journal of …, 2022 - Elsevier
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …

Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review

AA Khan, AA Laghari, M Rashid, H Li, AR Javed… - Sustainable Energy …, 2023 - Elsevier
Artificial Intelligence (AI) integrated with Blockchain distributed ledger technology (BDLT)
has become the most attractive research area in the domain of renewable energy and …

Smart grid cyber-physical situational awareness of complex operational technology attacks: A review

MN Nafees, N Saxena, A Cardenas, S Grijalva… - ACM Computing …, 2023 - dl.acm.org
The smart grid (SG), regarded as the complex cyber-physical ecosystem of infrastructures,
orchestrates advanced communication, computation, and control technologies to interact …

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 …

Recent advancements and challenges of AIoT application in smart agriculture: A review

HK Adli, MA Remli, KNS Wan Salihin Wong, NA Ismail… - Sensors, 2023 - mdpi.com
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …

A comprehensive review on deep learning approaches for short-term load forecasting

Y Eren, İ Küçükdemiral - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …

Modelling smart grid technologies in optimisation problems for electricity grids

S Giannelos, S Borozan, M Aunedi, X Zhang, H Ameli… - Energies, 2023 - mdpi.com
The decarbonisation of the electricity grid is expected to create new electricity flows. As a
result, it may require that network planners make a significant amount of investments in the …

Convergence of photovoltaic power forecasting and deep learning: State-of-art review

M Massaoudi, I Chihi, H Abu-Rub, SS Refaat… - IEEE …, 2021 - ieeexplore.ieee.org
Deep learning (DL)-based PV Power Forecasting (PVPF) emerged nowadays as a
promising research direction to intelligentize energy systems. With the massive smart meter …

A review on optimal energy management of multimicrogrid system considering uncertainties

G Ma, J Li, XP Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Microgrid (MG) is one of the most effective solution to integrate distributed renewable energy
into power system. However, modern MG has several technical challenges such as …

A comprehensive review of green computing: Past, present, and future research

SG Paul, A Saha, MS Arefin, T Bhuiyan… - IEEE …, 2023 - ieeexplore.ieee.org
Green computing, also called sustainable computing, is the process of developing and
optimizing computer chips, systems, networks, and software in such a manner that can …