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Outputs (1977)

Environmental policy in an international perspective (2003)
Book
Marsiliani, L., Rauscher, M., & Withagen, C. (Eds.). (2003). Environmental policy in an international perspective. Kluwer

The volume contains papers presented at a conference "On the International Dimension of Environmental Policy". It deals with two issues: international environmental agreements; environmental policies in open economies. Both issues are hot topics. The... Read More about Environmental policy in an international perspective.

Environmental economics and the international economy (2002)
Book
Marsiliani, L., Rauscher, M., & Withagen, C. (Eds.). (2002). Environmental economics and the international economy. Kluwer Academic Publishers

Thirteen papers addressing current issues in international environmental economics. They analyze the relationship between trade liberalization and environmental policy; the impact of trade liberalization on environmental quality; investigate problems... Read More about Environmental economics and the international economy.

Multivariate CNN-LSTM model for wind power forecast and input variables correlation analysis based on SHAPLEY values (2023)
Presentation / Conference Contribution
Pina-Gongora, D. C., & Kazemtabrizi, B. (2023, May). Multivariate CNN-LSTM model for wind power forecast and input variables correlation analysis based on SHAPLEY values. Paper presented at Wind Energy Science Conference (WESC) 2023, Glasgow, UK

Wind Power forecast based on the use of modern Deep Neural Network (DNN) methods is being explored as a tool to support decision-making by wind farm developers and operators for investment, grid integration and operational planning of the site. Techn... Read More about Multivariate CNN-LSTM model for wind power forecast and input variables correlation analysis based on SHAPLEY values.

Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators (2023)
Presentation / Conference Contribution
Adeniji, O., & Kazemtabrizi, B. (2023). Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators. In 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). https://doi.org/10.1109/EEEIC/ICPSEUROPE57605.2023.10194840

With large-scale acceptance of solar and wind energy generation into electric grids, large energy storage is expected to provide sufficient flexibility for the safe, stable and economic operation of power systems under uncertainty. Active Network Man... Read More about Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators.

Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks (2023)
Presentation / Conference Contribution
Higuera, G., & Kazemtabrizi, B. (2023). Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks. . https://doi.org/10.1049/icp.2023.0963

This paper proposes a novel Active Network Management (ANM) framework for day-ahead operations planning of a medium-voltage active Distribution Network (DN) using a heuristic Network Reconfiguration (NR) algorithm with a Curtailment Minimisation Sche... Read More about Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks.

Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G (2023)
Presentation / Conference Contribution
Thomas, H., Sun, H., & Kazemtabrizi, B. (2023). Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G. In 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). https://doi.org/10.1109/isgtmiddleeast56437.2023.10078520

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.

Optimum operational planning of wind-integrated power systems with embedded Multi-terminal High Voltage Direct Current Links using the Flexible Universal Branch Model (2023)
Presentation / Conference Contribution
Hamzah, S. K., & Kazemtabrizi, B. (2023). Optimum operational planning of wind-integrated power systems with embedded Multi-terminal High Voltage Direct Current Links using the Flexible Universal Branch Model. In 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194786

This paper presents a comprehensive analysis of a meshed MT-HVDC topology with three wind farms connected to the Substation Ring Topology (SRT) and investigates the steady state performance of the MT-HVDC system based on the VSC control strategies (i... Read More about Optimum operational planning of wind-integrated power systems with embedded Multi-terminal High Voltage Direct Current Links using the Flexible Universal Branch Model.

Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts (2022)
Presentation / Conference Contribution
Pina-Gongora, D. C., Kazemtabrizi, B., & Crabtree, C. (2022). Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts. . https://doi.org/10.1049/icp.2022.2777

This paper presents a new method for generating long-sequence wind speed time-series forecasts for purposes of offshore wind farm asset and operations planning. Our goal is to develop a planning decision support tool with which wind farm planners and... Read More about Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Presentation / Conference Contribution
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. (2022). Protecting privacy in microgrids using federated learning and deep reinforcement learning. . https://doi.org/10.1049/icp.2023.0100

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.

Air-Gapped Current Transformer simulation and accuracy assessment (2022)
Presentation / Conference Contribution
Ceron-Oliver, L., Wang, Q., & Zeze, D. (2022). Air-Gapped Current Transformer simulation and accuracy assessment. . https://doi.org/10.1109/melecon53508.2022.9843105

The implementation of smart grids makes it necessary to have reliable and efficient measuring devices. Current sensors used for metering purposes in the grid must be accurate enough to overcome new challenges that power networks face such as injectio... Read More about Air-Gapped Current Transformer simulation and accuracy assessment.

A comparison of air pollution in developed and developing cities: A case study of London and Beijing (2022)
Presentation / Conference Contribution
Sun, S., & Wang, Q. (2022). A comparison of air pollution in developed and developing cities: A case study of London and Beijing.

With the rapid development of industrialization, countries in different stages of development in the world have gradually begun to pay attention to the impact of air pollution on health and the environment. Air control in developed countries is an ef... Read More about A comparison of air pollution in developed and developing cities: A case study of London and Beijing.

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Presentation / Conference Contribution
Copsey, E., Sun, H., & Jiang, J. (2022). Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation. . https://doi.org/10.1109/vtc2022-fall57202.2022.10012777

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.

Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems (2022)
Presentation / Conference Contribution
Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W. (2022). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. . https://doi.org/10.1109/repe55559.2022.9949497

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.

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization (2022)
Presentation / Conference Contribution
Deng, H., Jiang, J., Qian, H., & Sun, H. (2022). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. . https://doi.org/10.1109/icsgsc56353.2022.9963000

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.

Structure health monitoring of concrete structures using magnetic flux leakage (2022)
Presentation / Conference Contribution
Zhang, Y., Wang, Q., & Huang, S. (2022). Structure health monitoring of concrete structures using magnetic flux leakage. . https://doi.org/10.11159/iccste22.214

Reinforcing bar, usually made of steel, is widely used in civil structures to increase the tensile strength of concrete. Heatinduced delayed expansion and corrosion expansion resulting in rust occupies a greater volume than rebar. This expansion crea... Read More about Structure health monitoring of concrete structures using magnetic flux leakage.

Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality (2022)
Presentation / Conference Contribution
Piper, W., Sun, H., & Jiang, J. (2022). Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality. . https://doi.org/10.1109/vtc2022-fall57202.2022.10012753

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.

Statistical Power Grid Observability under Finite Blocklength (2022)
Presentation / Conference Contribution
Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022). Statistical Power Grid Observability under Finite Blocklength. . https://doi.org/10.1109/cniot55862.2022.00026

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.