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Ge Gao - IEEE Xplore Author Profile

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Author details

Ge Gao

Publications

5

Citations

77

Publications by Year

20222024

Co-Authors:

Junyi DengXiaoqiang DiLei FuLinqiang GeXufeng Jiang

Show All Co-Authors (19)

Ge Gao

Affiliation

School of Computer Science and Technology

Shandong University

Jinan, Shandong, China

Publication Topics

Computational Overhead,
Convolutional Neural Network,
Deep Learning,
Internet Of Things,
Neural Network,
AI Models,
Accuracy Of Model,
Attack Behavior,
Attack Detection,
Attack Process,
Attention Mechanism,
Autoregressive Integrated Moving Average

Biography

Ge Gao received the M.S. degree in computer science from Illinois Institute of Technology, Chicago, IL, USA, in 2020.,Since 2020, she has been working with Shandong University, Jinan, China. Her current research interests include wearables activity data analysis, machine learning in healthcare, data privacy, and mobile computing.(Based on document published on 21 February 2024).

Publications

5

Citations

77

Publications by Year

20222024

Co-Authors:

Junyi Deng
Xiaoqiang Di
Lei Fu
Linqiang Ge
Xufeng Jiang

Show All Co-Authors (19)

Author's Published Works

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Showing 1-11 of 11 results

Conferences (7)

Journals (4)

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Salah K. Elsayed(11)
Salah Kamel(8)
Mohamed H. Hassan(5)
Ehab E. Elattar(2)
Mohamed Khamies(2)
Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia(5)
Department of Electrical Engineering, College of Engineering, Taif University, Taif, Kingdom of Saudi Arabia(4)
Department of Electrical Engineering, Aswan University, Aswan, Egypt(4)
Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt(2)
Department of Electrical Engineering, Faculty of Engineering, AL-Azhar University, Cairo, Egypt(2)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)(4)
IEEE Access(4)
2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)(3)
IEEE(11)
Media(7)
Valparaíso, Chile(7)
Optimization Algorithm(7)
Objective Function(6)
Renewable Energy Sources(4)
Equivalent Circuit(3)
Control Techniques(2)

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Optimal Parameter Design of MPC for Performance Enhancement of a Two-Area Interconnected Power Grid

Mohamed Khamies;Gaber Magdy;Salah Kamel;Salah K. Elsayed

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

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this study presents Gradient-based optimizer (GBO) to design the parameters of the model predictive controller (MPC) to enhance the performance of a two-area interconnected power grid. The considered system combines photo voltaic unit, and thermal unit. Furthermore, the integral of squared error is renowned to design the parameters of the proposed MPC controller. The performance of the proposed MP...Show More

Optimal Parameter Design of MPC for Performance Enhancement of a Two-Area Interconnected Power Grid

Mohamed Khamies;Gaber Magdy;Salah Kamel;Salah K. Elsayed

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

Ahmed S. Menesy;Hamdy M. Sultan;Mohamed H. Hassan;Salah K. Elsayed;Salah Kamel

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

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Nowadays, Fuel Cells are considered a viable alternative to the traditional sources of energy. Proton Exchange Membrane Fuel Cell (PEMFC) stack is the most common and famous kind between various kinds of fuel cell stacks. The PEMFC mathematical model is a very vital problem to understand the main performance and electrochemical features of the fuel cell. In this research paper, a new optimization ...Show More

Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

Ahmed S. Menesy;Hamdy M. Sultan;Mohamed H. Hassan;Salah K. Elsayed;Salah Kamel

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Equivalent Circuit Parameter Estimation of Induction Motor Using Parasitism Predation Algorithm

Safaa Abdo Ibrahim;Salah Kamel;Mohamed H. Hassan;Salah K. Elsayed

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

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the electromechanical industries rely heavily on AC induction or asynchronous motors. However, choosing a suitable engine for specific drive applications is an uncompromising task. The use of an equivalent T-circuit for this purpose is one of the most universally accepted and effective methods. The estimation of the equivalent circuit parameter must be done relatively quickly and accurately. This ...Show More

Equivalent Circuit Parameter Estimation of Induction Motor Using Parasitism Predation Algorithm

Safaa Abdo Ibrahim;Salah Kamel;Mohamed H. Hassan;Salah K. Elsayed

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Supply Demand-Based Optimization Algorithm for Estimating Break Down Voltage of Silicon Rubber Insulators

Ahmed M. Ali;Loai Nasrat;Mohamed H. Hassan;Salah K. Elsayed;Salah Kamel

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Silicon Rubber (SIR) is one of the most popular polymeric materials used in various insulation processes, such as the insulation of high voltage cables. But like other polymers, it has some disadvantages, so TiO2 was added as a filler to improve some SIR properties, such as electrical and performance properties, and increasing the dielectric strength. Six SIR samples were prepared with TIO2 filler...Show More

Supply Demand-Based Optimization Algorithm for Estimating Break Down Voltage of Silicon Rubber Insulators

Ahmed M. Ali;Loai Nasrat;Mohamed H. Hassan;Salah K. Elsayed;Salah Kamel

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Year: 2021 | Conference Paper |

Parameter Estimation of Single Phase Transformer Using Jellyfish Search Optimizer Algorithm

Heba Youssef;Mohamed H. Hassan;Salah Kamel;Salah K. Elsayed

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

Cited by: Papers (14)

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In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any differ...Show More

Parameter Estimation of Single Phase Transformer Using Jellyfish Search Optimizer Algorithm

Heba Youssef;Mohamed H. Hassan;Salah Kamel;Salah K. Elsayed

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

Slime Mould Algorithm for Frequency Controller Design of a Two-area Thermal-PV Power System

Mohamed Khamies;Gaber Magdy;Salah Kamel;Salah K. Elsayed

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

Cited by: Papers (11)

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In this study, a new implementation of the slime mould algorithm (SMA) is proposed to find the optimal parameters of proportional-integral (PI) controller and enhance the frequency stability in a two-area interconnected power grid combining thermal generator unit and photovoltaic (PV) system. Moreover, the design process of the considered power system takes the maximum power point tracking (MPPT) ...Show More

Slime Mould Algorithm for Frequency Controller Design of a Two-area Thermal-PV Power System

Mohamed Khamies;Gaber Magdy;Salah Kamel;Salah K. Elsayed

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

Developed Algorithm Based on Supply-Demand-Based Optimizer for Parameters Estimation of Induction Motor

Safaa Abdo Ibrahim;Salah Kamel;Mohamed H. Hassan;Salah K. Elsayed;Loai Nasrat

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

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One of the most important topics that receive great attention due to its environmental consequences is the issue of the optimal use of electrical energy. In other ways, the induction motors of most industries are the main component as they consume the highest percentage of energy and this consumption depends on the internal parameters that control the operating conditions of the motor. Despite the...Show More

Developed Algorithm Based on Supply-Demand-Based Optimizer for Parameters Estimation of Induction Motor

Safaa Abdo Ibrahim;Salah Kamel;Mohamed H. Hassan;Salah K. Elsayed;Loai Nasrat

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)

Year: 2021 | Conference Paper |

An Improved Heap-Based Optimizer for Optimal Reactive Power Dispatch

Salah K. Elsayed;Salah Kamel;Ali Selim;Mahrous Ahmed

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (29)

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Optimal reactive power dispatch (ORPD) in a typical power system is a complicated multi-objective optimization problem. The proper modeling of the multi-objective optimization problem has a significant impact on system operation and control. In this paper, an Improved Heap-based optimizer (IHBO) is proposed to improve the performance of a recently published technique called Heap-based optimizer (H...Show More

An Improved Heap-Based Optimizer for Optimal Reactive Power Dispatch

Salah K. Elsayed;Salah Kamel;Ali Selim;Mahrous Ahmed

Year: 2021 | Volume: 9 | Journal Article |

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

Fengyuan Yin;Ali Hajjiah;Kittisak Jermsittiparsert;Ameena Saad Al-Sumaiti;Salah K. Elsayed;Sherif S. M. Ghoneim;Mohamed A. Mohamed

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (35)

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Optimal scheduling of reconfigurable interconnected microgrids is a precious and critical task for the residential consumers especially with the integration of renewable energy sources, dispatchable units and energy storage systems. In this regard, not only the optimal scheduling of the microgrids in a realistic and correlated environment is a necessity, but also the guarantied security and the pr...Show More

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

Fengyuan Yin;Ali Hajjiah;Kittisak Jermsittiparsert;Ameena Saad Al-Sumaiti;Salah K. Elsayed;Sherif S. M. Ghoneim;Mohamed A. Mohamed

Year: 2021 | Volume: 9 | Journal Article |

Hybrid Local General Regression Neural Network and Harmony Search Algorithm for Electricity Price Forecasting

Ehab E. Elattar;Salah K. Elsayed;Tamer Ahmed Farrag

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (23)

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Proposing a new precise price forecasting method is still a challenging task as electricity price signals generally exhibit various complex features. In this paper, a new approach for electricity price forecasting called hybrid local general regression neural network, and harmony search algorithm (LGRNN-HSA) is proposed. The proposed LGRNN-HSA is developed by combining the coordinate delay (CD) me...Show More

Hybrid Local General Regression Neural Network and Harmony Search Algorithm for Electricity Price Forecasting

Ehab E. Elattar;Salah K. Elsayed;Tamer Ahmed Farrag

Year: 2021 | Volume: 9 | Journal Article |

Optimal Location and Sizing of Distributed Generators Based on Renewable Energy Sources Using Modified Moth Flame Optimization Technique

Ehab E. Elattar;Salah K. Elsayed

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (40)

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Due to the great impact of the penetration and locations of distributed generators (DG) on the performance of the distribution system, this paper proposes a modified moth flame optimization (MMFO) algorithm. Two modifications are proposed in MMFO to enhance the exploration and exploitation balance and overcome the shortcomings of the original MFO. The proposed MMFO is used to find the optimal loca...Show More

Optimal Location and Sizing of Distributed Generators Based on Renewable Energy Sources Using Modified Moth Flame Optimization Technique

Ehab E. Elattar;Salah K. Elsayed

Year: 2020 | Volume: 8 | Journal Article |

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