Bilal Naji Alhasnawi
Biographic Data
| ID | 7856334 |
|---|---|
| NAME | Bilal Naji Alhasnawi |
| GIVEN NAMES | Bilal Naji |
| FAMILY NAME | Alhasnawi |
| SIGNATURE | ALHASNAWI B N |
| AFFILIATIONS | University of Basrah |
| ORCID | 0000-0002-2630-8455 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A new methodology for reducing carbon emissions using multi-renewable energy systems and artificial intelligence
Microgrid cost management is a significant difficulty because the energy generated by microgrids is typically derived from a variety of renewable and non-renewable sources. Furthermore, in order to meet the requirements of freed energy markets and secure load demand, a link between the microgrid and the national grid is always preferred. For all of these reasons, in order to minimize operating expenses, it is imperative to design a smart energy m…
Consensus Algorithm-based Coalition Game Theory for Demand Management Scheme in Smart Microgrid
A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources
The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operat…
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Consensus Algorithm-based Coalition Game Theory for Demand Management Scheme in Smart Microgrid
A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources
The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operat…
A new methodology for reducing carbon emissions using multi-renewable energy systems and artificial intelligence
Microgrid cost management is a significant difficulty because the energy generated by microgrids is typically derived from a variety of renewable and non-renewable sources. Furthermore, in order to meet the requirements of freed energy markets and secure load demand, a link between the microgrid and the national grid is always preferred. For all of these reasons, in order to minimize operating expenses, it is imperative to design a smart energy m…
Computer Science (3 works) · Engineering (3 works) · Microgrid (3 works) · Microgrid Control and Optimization (3 works) · Smart Grid Energy Management (3 works) · Demand response (2 works) · Electricity (2 works) · Mathematical optimization (2 works) · Mathematics (2 works) · Renewable energy (2 works)