Anderson de Queiroz PhD
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Publications
- Evaluating Battery Degradation Models in Rolling-Horizon BESS Arbitrage Optimization , Energies (2026)
- Replication Data for "Power System Costs and Emissions Impacts of Data Center and Cryptocurrency Mining Expansion in the United States" , Zenodo (CERN European Organization for Nuclear Research) (2026)
- Routing Optimization Framework for Exploring Time-Varying Urban Road Network Vulnerability under Floods , Journal of Infrastructure Systems (2026)
- Spatio-Temporal Solar Power Forecasting Using GAN-Enhanced Irradiance Maps and Deep Neural Networks , SSRN Electronic Journal (2026)
- Spatio-Temporal Solar Power Forecasting Using GAN-Enhanced Irradiance Maps and Deep Neural Networks , SSRN Electronic Journal (2026)
- Spatio-Temporal Solar Power Forecasting Using GAN-Enhanced Irradiance Maps and Deep Neural Networks , SSRN Electronic Journal (2026)
- A framework for global sensitivity analysis in long-term energy systems planning using optimal transport , Energy (2025)
- Data-Driven Yield Improvement in Upstream Bioprocessing of Monoclonal Antibodies: A Machine Learning Case Study , Processes (2025)
- Day-ahead Solar Power Forecasting in a Large-scale System Using Statistical and Neural Network Models , (2025)
- Load Forecasting Using Recurrent and Transformer Neural Networks: A Comprehensive Analysis Across Multi-Time Scales , (2025)
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.