Anderson de Queiroz PhD
Publications
- Bayesian modeling and mechanical simulations for fragility curve estimation of the mooring system of marine hydrokinetic devices , APPLIED OCEAN RESEARCH (2024)
- Diverse decarbonization pathways under near cost-optimal futures , Nature Communications (2024)
- Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System , WATER (2024)
- Modeling energy storage in long-term capacity expansion energy planning: an analysis of the Italian system , JOURNAL OF ENERGY STORAGE (2024)
- An Overview of Short-Term Load Forecasting for Electricity Systems Operational Planning: Machine Learning Methods and the Brazilian Experience , ENERGIES (2023)
- 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)
- Optimizing offshore renewable portfolios under resource variability , APPLIED ENERGY (2022)
- Using robust optimization to inform US deep decarbonization planning , ENERGY STRATEGY REVIEWS (2022)
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.