DSpace at UMBB
The institutional repository of the University M'Hamed Bougara Of Boumerdes is a digital archive that contains the scientific output of the University. Dspace manages, preserves and provides access to the academic works of UMBB.
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أحكام عقد الهبة في القانون الجزائري
(جامعة أمحمد بوقرة بومرداس : كلية الحقوق و العلوم السياسية, 2025) زدام، آية; زيتوني، فلة; الكرية، محمد (مشرف)
Application of artificial intelligence techniques to energy management in hybrid system
(University M’Hamed Bougara Boumerdes : Institute of Electric and Electronic Engineering (IGEE), 2025) Rezig, Rania; Recioui, Abdelmadjid
Meeting the growing global energy demand requires innovative and sustainable solutions, with renewable energy resources (RERs) offerin g apromisin gpathway .Among these, photovoltaic (PV) systems stand out as accessible and scalable options, especially when integrated at the distribution level in smart grids. However, the inherent variability and unpredictability of solar energy introduce significat challenges for real time energy management and grid stability. Accurate forecasting of power production and consumption thus becomes a critical task in ensuring optimal energy flow and efficient grid operation.
This study presents a case-based investigation of a grid-connected PV system enhanced with artificial intelligence(AI) techniques for advanced energy management.
Specifically ,it explore sand compares the performance of an Adaptive Network based Fuzzy Inference System (ANFIS), a Convolutional Neural Network (CNN), and a hybrid CNN–ANFIS model in predicting short-term power generation and consumption. All models were developed, trained, and evaluated using MATLAB, based on real world weather and energy data collected over multiple seasons. The evaluation metrics, particularly root mean square error (RMSE), demonstrate that the hybrid model combines the learning capabilities of CNNs with the reasoning strength of ANFIS, offerin gimproved forecasting accuracy. The integration of such intelligent predictive systems supports smarter decision-making and can significantly enhance the reliabiliy and cost efficiency of distributed renewable energy integration in modern power systems.
إثباث الملكية العقارية في الأراضي غير الممسوحة
(جامعة أمحمد بوقرة بومرداس : كلية الحقوق و العلوم السياسية, 2025) حموش، حميدة; بن فاضل، ليلة; لنقار، بركاهم (مشرف)
Advanced control strategies for induction motors using reduced switch count inverter
(University M'hamed Bougara Boumerdes : Institute of Electric and Electronic Engineering (IGEE), 2025) Benaouda, Khaoula; Baiteche, Khaoula; Kheldoun, Aissa
background and practical implementation of DTC and MPTC. Special emphasis is placed on the challenges of applying these techniques to FSTPI due to its reduced number of switching vectors. To overcome these challenges, a virtual vector-based strategy is developed. The simulation results obtained using MATLAB/Simulink demonstrate the effectiveness of the proposed control schemes in reducing torque ripple, improving dynamic response, and enchancing overall system performance. The finding confirm the viability of four-switch inverter-based motor drives for applications requiring reduced hardware cost without compromising performance.
Study and design of a digital pulse width modulation signal generator for dc-dc converters
(2026) Kaouane, Mohamed; Deroueche, Manar; Cherra, Nidhal; Boukhelifa, Akkila