Market mechanisms and trading in microgrid local electricity markets: A comprehensive review

Y Zahraoui, T Korõtko, A Rosin, H Agabus - Energies, 2023 - mdpi.com
Electricity generation using distributed renewable energy systems is becoming increasingly
common due to the significant increase in energy demand and the high operation of …

Sustainable microgrid design with multiple demand areas and peer-to-peer energy trading involving seasonal factors and uncertainties

FY Vincent, THA Le, JND Gupta - Renewable and Sustainable Energy …, 2022 - Elsevier
The intermittent nature of renewable sources, uncertain demand load, and the location of
microgrids cause challenges for the proper energy balance between supply and demand …

A relaxed consensus plus innovation based effective negotiation approach for energy cooperation between smart grid and microgrid

MA Mohamed - Energy, 2022 - Elsevier
The growing propagation of the microgrids and their remarkable effects on operating the
smart grid is developing a sustained environment to drift away from the traditional …

A novel stochastic blockchain-based energy management in smart cities using V2S and V2G

L Zhang, L Cheng, F Alsokhiry… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a secure management framework for optimal scheduling and operation
of energy systems in smart cities, which will bring balance in modern power systems. The …

An IoT-enabled stochastic operation management framework for smart grids

B Wang, H Ma, F Wang, U Dampage… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the
opportunity for remote control and monitoring of the distributed generations (DGs), switches …

Deep machine learning model-based cyber-attacks detection in smart power systems

A Almalaq, S Albadran, MA Mohamed - Mathematics, 2022 - mdpi.com
In this study, a deep learning-based attack detection model is proposed to address the
problem of system disturbances in energy systems caused by natural events like storms and …

Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model

AA Alsulami, Q Abu Al-Haija, B Alturki, A Alqahtani… - Scientific Reports, 2024 - nature.com
Microgrids are small-scale energy system that supplies power to homes, businesses, and
industries. Microgrids can be considered as a trending technology in energy fields due to …

An innovative method-based CEEMDAN–IGWO–GRU hybrid algorithm for short-term load forecasting

Z Chen, T Jin, X Zheng, Y Liu, Z Zhuang… - Electrical …, 2022 - Springer
The accuracy level of short-term load forecasting (STLF) affects the power department's
arrangements for unit start-up, shutdown, overhaul, and load dispatching. However, the …

An innovative cloud-fog-based smart grid scheme for efficient resource utilization

F Alsokhiry, A Annuk, MA Mohamed, M Marinho - Sensors, 2023 - mdpi.com
Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …

Distributed energy management for networked microgrids with hardware-in-the-loop validation

G Liu, MF Ferrari, TB Ollis, A Sundararajan, M Olama… - Energies, 2023 - mdpi.com
For the cooperative operation of networked microgrids, a distributed energy management
considering network operational objectives and constraints is proposed in this work …