Titlebook: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities; Case Study: Tipasa, Mustapha Hatti Conference proceedi

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Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrificationonfiguration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71 $ and the COE equal to 0.79 $/kWh for an LPSP = 0.01%, where the ten households are 0.99 % satisfied by renewable energy sources.

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An Efficient Salp Swarm Algorithm for a PV Global Maximum Power Point Tracking Under Partial Shadingas Dormant Partial Swarm Optimization Algorithm (DPSOA) and the classical Partial Swarm Optimization Algorithm (PSOA). The simulation results have proved excellent performances of the SSA to achieve the GMPP.

Nucleate

occurrence

Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizen quality and convergence characteristics have been validated on the practical Algerian 114-bus test system. Obtained results have been compared to the standard genetic algorithm (GA) and to the particle swarm optimization (PSO) which demonstrates the efficacy of the MFA in solving large scale OPFM.

creditor

Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode an objective function. The proposed PSO-STSMC approach reduces powers and currents ripples while maintaining the Sliding Mode Control (SMC) advantages such as robustness. Simulation results show the effectiveness of the proposed strategy in reducing the chattering phenomenon.

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盟军

Maximum Power Point Tracking Under Fast Changing Irradiance Using Hybrid Fuzzy-PO Algorithmt (INC). The simulations are performed under Matlab/Simulink™ software, the obtained results are very satisfactory, the proposed system (FLC-PO), demonstrates a good robustness and performs outstandingly under fast irradiance changing conditions compared with the P&O and INC methods.

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Conference proceedings 2022unication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the e