TY - GEN
T1 - Smart Energy Management in Qatar
T2 - 4th International IoT, Electronics and Mechatronics Conference, IEMTRONICS 2025
AU - Boumaiza, Ameni
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - The worldwide transition toward sustainable energy solutions has become increasingly urgent due to climate change challenges, the necessity to minimize greenhouse gas emissions, and the drive to reduce reliance on fossil fuels. For resource-rich countries like Qatar, which faces escalating energy demands, this shift is critical. The Qatari government acknowledges this urgency and is exploring renewable energy possibilities, with solar energy standing out due to its significant potential. This paper proposes an AI-powered renewable mini-grid model aimed at optimizing community solar projects in Qatar. Furthermore, we introduce a novel algorithm, Algorithm X, designed to tackle the computational challenges associated with large-scale energy simulations, demonstrating significant improvements in execution time and resource efficiency.
AB - The worldwide transition toward sustainable energy solutions has become increasingly urgent due to climate change challenges, the necessity to minimize greenhouse gas emissions, and the drive to reduce reliance on fossil fuels. For resource-rich countries like Qatar, which faces escalating energy demands, this shift is critical. The Qatari government acknowledges this urgency and is exploring renewable energy possibilities, with solar energy standing out due to its significant potential. This paper proposes an AI-powered renewable mini-grid model aimed at optimizing community solar projects in Qatar. Furthermore, we introduce a novel algorithm, Algorithm X, designed to tackle the computational challenges associated with large-scale energy simulations, demonstrating significant improvements in execution time and resource efficiency.
KW - Blockchain
KW - Demand response
KW - Energy management
KW - Power grid
KW - Trading
UR - https://www.scopus.com/pages/publications/105036946288
U2 - 10.1007/978-981-95-0429-9_26
DO - 10.1007/978-981-95-0429-9_26
M3 - Conference contribution
AN - SCOPUS:105036946288
SN - 9789819504282
T3 - Lecture Notes in Electrical Engineering
SP - 389
EP - 401
BT - Proceedings of IEMTRONICS 2025 - International IoT, Electronics and Mechatronics Conference
A2 - Bradford, Phillip G.
A2 - Koul, Shiban Kishen
A2 - Gadsden, S. Andrew
A2 - Ghatak, Kamakhya Prasad
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 3 April 2025 through 5 April 2025
ER -