Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…Parallel computing is demanded to allow for optimal resource utilization in dealing with smart grid big data. In this paper, a master-slave parallel computing paradigm is utilized and experimented with for load forecasting in a multi-AMI environment. …"

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System حسب Ameema Zainab (16864263)

"…The proliferation of smart meters in the grids has resulted in an explosion of energy datasets. Processing such data is challenging and usually takes a longer time than the requirement of a short-term load forecast. …"

Impact of urban morphology on urban microclimate and building energy loads حسب Athar Kamal (17191843)

"…With the help of the Urban Weather Generator (UWG) and a locally established weather station, this research explores the validity of UWG processed open weather data (i.e., World Weather Online and Open Weather Map datasets). …"

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…<p>Different aggregation levels of the electric grid's big data can be helpful to develop highly accurate deep learning models for Short-term Load Forecasting (STLF) in electrical networks. …"

Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter حسب Mena S. ElMenshawy (17983807)

"…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …"

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals حسب Yassine Himeur (14147787)

"…<p dir="ltr">Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. …"

Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model حسب Dabeeruddin Syed (16864260)

"…The proposed framework consists of two stages, namely, data cleaning, and model building. The data cleaning phase applies pre-processing techniques to the raw data and adds additional features of lag values. …"

Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance حسب Shimaa S. El-Malah (16931790)

"…This study evaluates the use of a new normalization approach using human RNase P for the logic estimation of SARS-CoV-2 viral load in wastewater. SARS-CoV-2 variants outbreak was monitored during the circulating wave between February and August 2021. …"

Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers حسب Heba M. Abdullah (16896384)

"…The charger placement problem is formulated as a complex Multi-Criteria Decision Making (MCDM) which combines spatial analysis techniques, power network load flow, traffic flow models, and constrained procedures. …"

Using ID-Based Authentication and Key Agreement Mechanism for Securing Communication in Advanced Metering Infrastructure حسب Shaik Mullapathi Farooq (16869909)

Time-constrained concurrent data-offloading in the cloud and fog حسب Zakaria Maamar (20852837)

"…<p dir="ltr">This paper discusses the concurrent offloading of data in a multi-platform configuration consisting of cloud and fog. devices feed these platforms with data that need to be stored, processed, and/or shared. …"

Reinforcement Learning Based EV Charging Management Systems–A Review حسب Heba M. Abdullah (16896384)

"…Moreover, the unpredictable nature of renewable energy generation, uncertainties of plug-in electric vehicles associated parameters, energy prices, and the time-varying load create new challenges for the researchers and industries to maintain a stable operation of the power system. …"

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. The effect of surface area loading rate (SALR), organic matters (OMs), nutrients (N & P), feed flow rate (Q_feed), hydraulic retention time (HRT), and internal recycle flow (IRF) on the performance of the ENR-BP to fulfil rigorous discharge limitations were evaluated. …"

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives حسب Yassine Himeur (14158821)

"…This paper presents a comprehensive systematic survey on using AI-big data analytics in BAMSs. It covers various AI-based tasks, e.g. load forecasting, water management, indoor environmental quality monitoring, occupancy detection, etc. …"

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems حسب Aliya Tabassum (16896486)

"…Extensive experiments with standard data sets and real-time streaming IoT traffic give encouraging results.…"

Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning حسب Atef H. Bondok (19482352)

"…<h3>Abstract</h3><p dir="ltr">In the advanced metering infrastructure (AMI) of the smart grid, smart meters (SMs) are deployed to collect fine-grained electricity consumption data, enabling billing, load monitoring, and efficient energy management. …"

Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications حسب Muhammad Ibrar Khan (13390617)