Market mechanisms and trading in microgrid local electricity markets: A comprehensive review
Electricity generation using distributed renewable energy systems is becoming increasingly
common due to the significant increase in energy demand and the high operation of …
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
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
arrangements for unit start-up, shutdown, overhaul, and load dispatching. However, the …
An innovative cloud-fog-based smart grid scheme for efficient resource utilization
Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …
operation of electrical networks. Nonetheless, SGs suffer from big data transactions which …
Distributed energy management for networked microgrids with hardware-in-the-loop validation
For the cooperative operation of networked microgrids, a distributed energy management
considering network operational objectives and constraints is proposed in this work …
considering network operational objectives and constraints is proposed in this work …