The doctoral thesis by student Ali Muhammad Jassim was discussed in the College of Engineering, University of Basra, Department of Electrical Engineering, entitled Demand-side management and control strategies for multi-source mini-grids. ​This thesis aims to address the deviations in voltage and frequency and achieve proper power sharing of parallel-connected distributed generators-based off-grid MGs by proposing decentralized and distributed hierarchical control structures. In both control structures, the primary control adopts systematic methods to select the control parameters, and the secondary layer controllers use adaptive signals from the Artificial Neural Networks (ANNs)-based tertiary layer to fine-tune control parameters in order to accurately achieve power sharing and compensate for any deviations in voltage and frequency caused by the primary layer. In decentralized system, the power flow is controlledusing an ANN-based EM system, which includes five parallel DGs connected to an energy storage system, in order to improve system power usage and offer cost savings in energy. 
​Furthermore, the demand management system has been designed and experimentally applied based on load shifting and energy conservation techniques with the adoption of an energy internet platform. The proposed algorithm intelligently powers non-shiftableand shifts the shiftable appliances based on the periods of minimum tariff, time of appliance, duration, and generation priority. According to the findings, the proposed strategy is capable of balancing demand-generation powers, reducing consumption costs, and enhancing the load factor.