All Outputs (144)

Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings (2023)
Presentation / Conference Contribution

Carbon emissions are becoming a global concern responsible for climate change. The renewable energy sources (RESs) such as wind, solar, biomass are gaining importance to reduce emissions in the energy sector. However, these sources depend highly on v... Read More about Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings.

Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks (2023)
Presentation / Conference Contribution

With the high penetration of distributed energy resources (DERs), distribution networks have become more prone to uncertainties associated with renewable energy sources (RESs). If not handled judiciously, these uncertainties may lead to interruption... Read More about Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks.

Blockchain and Artificial Intelligence Technologies for Smart Energy Systems (2023)
Book

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artifi... Read More about Blockchain and Artificial Intelligence Technologies for Smart Energy Systems.

Decarbonising electrical grids using photovoltaics with enhanced capacity factors (2023)
Journal Article

Many scenarios for Net Zero anticipate substantial growth of Solar PV generation to satisfy 30% of our electricity needs. However, this scale of deployment introduces challenges as supply may not meet demand, thereby necessitating energy storage and... Read More about Decarbonising electrical grids using photovoltaics with enhanced capacity factors.

Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions (2023)
Journal Article

In recent years, low-carbon transportation has become an indispensable part as sustainable development strategies of various countries, and plays a very important responsibility in promoting low-carbon cities. However, the security of low-carbon tran... Read More about Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions.

Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco (2023)
Journal Article

The introduction of electric vehicles (EVs) will contribute to decarbonizing our cities and make them more sustainable, which will help mitigate climate change. To ensure a successful transition to e-mobility, charging infrastructure development is c... Read More about Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco.

Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G (2023)
Presentation / Conference Contribution

The uptake of electric vehicles and distributed energy generation is adding significant new demand to distribution networks, however it is unknown whether this can be accommodated by existing infrastructure. This paper first presents an Optimisation... Read More about Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G.

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Presentation / Conference Contribution

The production of electric vehicle battery packs with ever-increasing energy densities has accelerated the electrification of the world’s automotive industry. With increased attention on the electric vehicle markets, it is vital to increase the safet... Read More about Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation.

Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality (2022)
Presentation / Conference Contribution

Digital twins is an increasingly valuable technology for realising smart cities worldwide. Visualising this technology using mixed reality creates unprecedented opportunities to easily access relevant data and information. In this paper, a digital tw... Read More about Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality.

Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game (2022)
Journal Article

Aggregating the demand side flexibility is essential to complementing the inflexible and variable renewable energy supply in achieving low carbon energy systems. Sources of demand side flexibility, e.g., dispatchable generators, storages, and flexibl... Read More about Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Presentation / Conference Contribution

Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissio... Read More about A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization.

Demand side management considering household appliances and EV (2022)
Presentation / Conference Contribution

Combination of the information technology and the power engineering is the feature of next-generation grid. Depending on bidirectional communications, demand side management (DSM) aims at optimizing the electricity usage pattern of customers to impro... Read More about Demand side management considering household appliances and EV.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Presentation / Conference Contribution

This paper aims to improve the energy management efficiency of home microgrids while preserving privacy. The proposed microgrid model includes energy storage systems, PV panels, loads, and the connection to the main grid. A federated multi-objective... Read More about Protecting privacy in microgrids using federated learning and deep reinforcement learning.

Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems (2022)
Presentation / Conference Contribution

In recent years, the importance of reducing carbon dioxide (CO2) emissions has increased. With the use of technologies such as artificial intelligence, we can improve the way households manage their energy use to decrease cost and carbon emissions. I... Read More about Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems.

Dynamic Pricing and Control for EV Charging Stations with Solar Generation (2022)
Journal Article

Demand response is one of the most promising tools for smart grids to integrate more renewable energy sources. One critical challenge to overcome is how to establish pricing and control strategies for integrating more electric vehicles (EVs) and rene... Read More about Dynamic Pricing and Control for EV Charging Stations with Solar Generation.

Statistical Power Grid Observability under Finite Blocklength (2022)
Presentation / Conference Contribution

We study the stochastic observability of the power grid system under communication constraints in the finite blocklength regime. Compared to the study under the assumption of infinite blocklength, we introduce two new elements: probability of decodin... Read More about Statistical Power Grid Observability under Finite Blocklength.

Statistical Power Grid Observability under NOMA-based Communication Constraints (2022)
Presentation / Conference Contribution

This paper studies the observability of the power grid by jointly considering the power system with the wireless communication system under the strict latency requirements of Phasor Measurement Units (PMUs), which is characterized via the theory of e... Read More about Statistical Power Grid Observability under NOMA-based Communication Constraints.

A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment (2022)
Journal Article

With the development of the electricity market, peer-to-peer (P2P) transaction plays an important role in promoting local consumption of renewable energy and arousing the enthusiasm of prosumers. However, due to the diversification of prosumers, the... Read More about A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment.

Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review (2022)
Journal Article

Governments’ net zero emission target aims at increasing the share of renewable energy sources as well as influencing the behaviours of consumers to support the cost-effective balancing of energy supply and demand. These will be achieved by the advan... Read More about Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review.

Data-driven prosumer-centric energy scheduling using convolutional neural networks (2022)
Journal Article

The emerging role of energy prosumers (both producers and consumers) enables a more flexible and localised structure of energy markets. However, it leads to challenges for the energy scheduling of individual prosumers in terms of identifying idiosync... Read More about Data-driven prosumer-centric energy scheduling using convolutional neural networks.