A5073334916- Complex Systems and Decision Making
- Systems Engineering Methodologies and Applications
- Simulation Techniques and Applications
- Sustainability and Climate Change Governance
- Water resources management and optimization
- Technology Assessment and Management
- Reliability and Maintenance Optimization
- Product Development and Customization
- Cognitive Science and Mapping
- demographic modeling and climate adaptation
- Scheduling and Timetabling Solutions
- Human-Automation Interaction and Safety
- Scientific Computing and Data Management
- Defense, Military, and Policy Studies
- Military Strategy and Technology
- Energy Load and Power Forecasting
- Quality Function Deployment in Product Design
- Information Systems Theories and Implementation
- Extraction and Separation Processes
- Advanced Multi-Objective Optimization Algorithms
- Bayesian Modeling and Causal Inference
- Hydrology and Watershed Management Studies
- Sustainability and Ecological Systems Analysis
- Smart Grid Energy Management
- Water-Energy-Food Nexus Studies
UNSW Sydney
2015-2024
University of Canberra
2015-2024
UNSW Canberra
2015-2024
Australian Defence Force Academy
2014-2023
ACT Government
2019-2021
Australian National University
2012-2021
Weatherford College
2021
Camden and Campbelltown Hospitals
2018
Canberra (United Kingdom)
2017
National Centre for Groundwater Research and Training
2011-2015
Modeling is essential to characterize and explore complex societal environmental issues in systematic collaborative ways. Socio-environmental systems (SES) modeling integrates knowledge perspectives into conceptual computational tools that explicitly recognize how human decisions affect the environment. Depending on purpose, many SES modelers also realize involvement of stakeholders experts fundamental support social learning decision-making processes for achieving improved outcomes. The...
A microgrid, regarded as one of the cornerstones future smart grid, uses distributed generations and information technology to create a widely automated energy delivery network. This paper presents review microgrid concept, classification control strategies. Besides, various prospective issues challenges implementation are highlighted explained. Finally, important aspects research outlined. study would help researchers, scientists, policymakers get in-depth systematic knowledge on microgrid....
Choices made in modeling matter and demand more explication since they determine how much we can trust insights predictions within their social, political ethical contexts. Good Modeling Practice (GMP) is a key research area for strengthening maturing the field community, through identifying, formulating sharing knowledge about craft of modeling. This represents that modelers learn practice get things done, adapt practices to new situations. Joint Special Issue motivated by importance good...
Accurate prediction of wind power generation is complex due to stochastic component, but can play a significant role in minimizing operating costs, and improving reliability security system. This paper proposes hybrid deep learning model accurately forecast the very-short-term (5-min 10-min) Boco Rock Wind Farm Australia. The consists convolutional neural network, gated recurrent units (GRU) fully connected network. To improve performance, hyper-parameters are tuned using Harris Hawks...
The management of freshwater ecosystems is usually targeted through the regulation water quantity (limiting diversions and providing environmental flows) quality (setting limits or targets for constituent concentrations). Climate change likely to affect in multiple ways future requires predictions plausible conditions. We use a suite ecologically-relevant hydrological indicators determine significance projected climate-driven changes Upper Murrumbidgee River Catchment south eastern Australia...
This study aims to assess the techno-economic viability of a grid-connected microgrid for providing low-cost, reliable energy supply in regional parts Australia. In this research, community with solar and wind potential is examined as case study. The evaluates five different system configurations without storage based on available resources. results indicate that most cost-effective solar, wind, diesel generator, battery. cost calculated $0.152/kWh, which 7.11% less expensive than base...