Anderson de Queiroz PhD
Publications
- Scenario generation and risk-averse stochastic portfolio optimization applied to offshore renewable energy technologies , ENERGY (2023)
- Short-term load forecasting using neural networks and global climate models: An application to a large-scale electrical power system , APPLIED ENERGY (2023)
- Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation , ENERGY REPORTS (2022)
- Efficiency analysis for performance evaluation of electric distribution companies , INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)
- Energy-Storage Modeling: State-of-the-Art and Future Research Directions , IEEE TRANSACTIONS ON POWER SYSTEMS (2022)
- Optimizing offshore renewable portfolios under resource variability , APPLIED ENERGY (2022)
- Using robust optimization to inform US deep decarbonization planning , ENERGY STRATEGY REVIEWS (2022)
- An assessment of multi-layer perceptron networks for streamflow forecasting in large-scale interconnected hydrosystems , INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2021)
- Erratum: Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts (Joule (2020) 4(12) (2523–2526), (S2542435120305109), (10.1016/j.joule.2020.11.002)) , Joule (2021)
- Improving the representation of energy Efficiency in an energy system optimization model , arXiv (2021)
Grants
Refinement of the FREEDM Center Cost-Benefit Model
Date: 09/01/16 - 8/31/17
Amount: $56,005.00
Funding Agencies: NCSU Future Renewable Electric Energy Delivery and Management Systems Center (FREEDM)
The FREEDM Center is developing critical smart grid technologies that can enable the large scale deployment of renewables on the electricity distribution network. The purpose of this project is to assemble estimates of costs and benefits for FREEDM components in order to refine the cost-benefit model developed last year.