A5087634584- Smart Grid Energy Management
- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Integrated Energy Systems Optimization
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Advanced Control Systems Optimization
- Heat Transfer and Optimization
- Air Quality Monitoring and Forecasting
- Frequency Control in Power Systems
- Advanced Manufacturing and Logistics Optimization
- Power Systems and Technologies
- Building Energy and Comfort Optimization
- Traffic Prediction and Management Techniques
- Power System Optimization and Stability
University College Dublin
2019-2022
Integrated Environmental Solutions (United Kingdom)
2022
Shahid Beheshti University
2018-2019
Prairie View A&M University
2018
COVID-19 non-pharmaceutical interventions (NPIs) are changing human mobility patterns; however, the effects on power systems remain unclear. Previous loads and timings along with weather features often used in literature as input load forecasting, but these may be insufficient during COVID-19. As a result, this paper proposes an analytical framework to assess impact of system operation well day-ahead electricity prices Ireland. To improve peak demand forecasting pandemics, we incorporate...
This paper investigates the impact of Plug-in Electric Vehicles (PEVs) on voltage improvement and loss reduction in MicroGrids (MG). The proposed model this aims to minimize total expected deviation MG, while being subject economic policies. studied MG consists PEVs, Renewable Energy Sources (RES), Storage Systems (ESSs), Distributed Generations (DGs), is able participate day-ahead energy markets. uncertainties arrival departure time RES outputs, market prices are stochastically taken into...
Abstract Reduced numbers of online conventional generators, due to increasing shares renewable energy sources, are the requirement for a fast frequency response capability from reserve providers when large infeed/outfeed trips. The commercial demand‐side sector, considering its size (MW/MWh) and existing communication control infrastructure, makes it potential valuable source flexibility provision. Supermarket refrigeration systems considered here as being representative end‐uses, with...
Potential solutions for unlocking operational flexibility from data centres are investigated. Two types of centres, in terms their cooling facilities, modelled order to provide an in-depth assessment potential variations centre performance based on energy consumption and server temperatures. Using synthetic datasets generated year-long building dynamic simulations under distinct system conditions, four machine learning (ML) models designed trained predict Three different ML algorithms...
An increasing implementation of renewable sources and electric vehicles can be help in reducing the total operational cost a power system, affecting system technical operation. To this end, multi-objective optimisation method using Normalised Normal Constraint (NNC) is applied paper by which two competitive objectives are considered: Minimisation Active Distribution System (ADS) minimisation ADS losses. Meanwhile, uncertain behaviour wind, photovoltaic units, arrival departure time...
Reducing numbers of online conventional generators, due to increasing shares renewable energy sources, are in-creasing the requirement for a fast frequency response from reserve providers when large infeed/outfeed trips. The commercial demand side sector, considering its size (MW/MWh) and existing communication control infrastructure, makes it potential source flexibility. Here, in particular, provision supermarket refrigeration sys-tems is presented, whereby sufficiently diverse fleet...