Anderson Rodrigo de Queiroz

Evaluating Battery Degradation Models in Rolling-Horizon BESS Arbitrage Optimization

Humiston, C., Cetin, M., & Queiroz, A. R. (2026, February 18). Energies.

Spatio-Temporal Solar Power Forecasting Using GAN-Enhanced Irradiance Maps and Deep Neural Networks

Chou, Y.-H., & Queiroz, A. R. (2026, January 1). SSRN Electronic Journal.

Data-Driven Yield Improvement in Upstream Bioprocessing of Monoclonal Antibodies: A Machine Learning Case Study

Strüssmann, B. R., Queiroz, A. R., & Hvam, L. (2025, October 23). Processes.

Day-ahead Solar Power Forecasting in a Large-scale System Using Statistical and Neural Network Models

Chou, Y.-H., Nisar, S., Haldar, A., & Queiroz, A. R. (2025, July 27).

Load Forecasting Using Recurrent and Transformer Neural Networks: A Comprehensive Analysis Across Multi-Time Scales

Haldar, A., Nisar, S., Chou, Y.-H., & Queiroz, A. R. (2025, July 27).

Multilayer Artificial Neural Networks Associated With Genetic Algorithms for Demand-Based Operation and Forecasting of Water Distribution Networks Aiming to Increase Hydroenergetic Efficiency

Silva, A. T. Y. L., Silva, F. D. G. B. D., Lara, L. L. D., Marques, S. M., Lourenço, C. A., Reis, J. A. T. D., & Queiroz, A. R. D. (2025, January 1). IEEE Access.

Transfer Learning Based Load Forecasting using Recurrent and Transformer Neural Networks

Haldar, A., Chou, Y.-H., Nisar, S., & Queiroz, A. R. (2025, October 26).

Bayesian modeling and mechanical simulations for fragility curve estimation of the mooring system of marine hydrokinetic devices

Faria, V. A. D., Jamaleddin, N., Queiroz, A. R., & Gabr, M. (2024, September 28). Applied Ocean Research, Vol. 153.

Diverse decarbonization pathways under near cost-optimal futures

Nature Communications, 15(1).

Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System

Torres, F. L. R., Lima, L. M. M., Reboita, M. S., Queiroz, A. R., & Lima, J. W. M. (2024, February 16). Water, Vol. 16.

Modeling energy storage in long-term capacity expansion energy planning: an analysis of the Italian system

Nicoli, M., Faria, V. A. D., Queiroz, A. R., & Savoldi, L. (2024, September 19). Journal of Energy Storage, Vol. 101.

An Overview of Short-Term Load Forecasting for Electricity Systems Operational Planning: Machine Learning Methods and the Brazilian Experience

Aquila, G., Morais, L. B. S., Faria, V. A. D., Lima, J. W. M., Lima, L. M. M., & Queiroz, A. R. (2023, November 4). Energies, Vol. 16.

Scenario generation and risk-averse stochastic portfolio optimization applied to offshore renewable energy technologies

Faria, V. A. D., Queiroz, A. R., & DeCarolis, J. F. (2023, February 13). Energy, Vol. 2, p. 126946.

Short-term load forecasting using neural networks and global climate models: An application to a large-scale electrical power system

Morais, L. B. S., Aquila, G., Faria, V. A. D., Lima, L. M. M., Lima, J. W. M., & Queiroz, A. R. (2023, July 7). Applied Energy, Vol. 348.

Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation

Ford, L., Queiroz, A., DeCarolis, J., & Sankarasubramanian, A. (2022, June 28). Energy Reports, Vol. 8, pp. 8061–8078.

Optimizing offshore renewable portfolios under resource variability

Faria, V. A. D., Queiroz, A. R., & DeCarolis, J. F. (2022, September 27). Applied Energy, Vol. 326, p. 120012.

Using robust optimization to inform US deep decarbonization planning

Patankar, N., Eshraghi, H., Queiroz, A. R., & DeCarolis, J. F. (2022, July 1). Energy Strategy Reviews, Vol. 42, p. 100892.

An assessment of multi-layer perceptron networks for streamflow forecasting in large-scale interconnected hydrosystems

Faria, V. A. D., Queiroz, A. R., Lima, L. M., Lima, J. W. M., & Silva, B. C. (2021, July 23). International Journal of Environmental Science and Technology, Vol. 7, pp. 5819–5838.

Efficiency analysis for performance evaluation of electric distribution companies

Medeiros, G. O. S., Marangon-Lima, L. M., Queiroz, A. R., Marangon-Lima, J. W., Santos, L. C. B., Barbosa, M. A., & Alvares, J. E. (2021, August 4). International Journal of Electrical Power & Energy Systems, Vol. 134.

Energy-Storage Modeling: State-of-the-Art and Future Research Directions

Sioshansi, R., Denholm, P., Arteaga, J., Awara, S., Bhattacharjee, S., Botterud, A., … Zhang, Z. (2021, August 13). IEEE Transactions on Power Systems, Vol. 37, pp. 860–875.

Improving the representation of energy Efficiency in an energy system optimization model

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85119246754&partnerID=MN8TOARS

Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts

DeCarolis, J. F., Jaramillo, P., Johnson, J. X., McCollum, D. L., Trutnevyte, E., Daniels, D. C., … Zhou, Y. (2021, February 1). Joule, Vol. 5, p. 507.

Performance Comparison of Equivalent Reservoir and Multireservoir Models in Forecasting Hydropower Potential for Linking Water and Power Systems

Journal of Water Resources Planning and Management, 147(4), 04021005.

Promoting reproducibility and increased collaboration in electric sector capacity expansion models with community benchmarking and intercomparison efforts

Henry, C. L., Eshraghi, H., Lugovoy, O., Waite, M. B., DeCarolis, J. F., Farnham, D. J., … Caldeira, K. (2021, September 13). Applied Energy, Vol. 304, p. 117745.

Quantification of climate-induced interannual variability in residential U.S. electricity demand

Energy, 236, 121273.

The Role of Temperature Variability on Seasonal Electricity Demand in the Southern US

Frontiers in Sustainable Cities, 3.

The symbiotic relationship of solar power and energy storage in providing capacity value

Sodano, D., DeCarolis, J. F., Queiroz, A. R., & Johnson, J. X. (2021, June 2). Renewable Energy, Vol. 177, pp. 823–832.

Transmission towers spotting in power systems considering engineering and environmental aspects: A dynamic programming approach

Medeiros, G. O. S., Queiroz, A. R., Lima, R. M., Pereira, C. R. S., Santos, A. H. M., Junior, L. C., … Junior, E. L. C. (2021, July 14). International Transactions on Electrical Energy Systems, Vol. 31.

Contribution for bidding of wind-photovoltaic on grid farms based on NBI-EFA-SNR method

Aquila, G., Queiroz, A. R., Junior, P. R., Rocha, L. C. S., Oliveira Pamplona, E., & Balestrassi, P. P. (2020, June 23). Sustainable Energy Technologies and Assessments, Vol. 40.

Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis

Oliveira, L. G., Aquila, G., Balestrassi, P. P., Paiva, A. P., Queiroz, A. R., Oliveira Pamplona, E., & Camatta, U. P. (2020, February 25). Renewable and Sustainable Energy Reviews, Vol. 123.

Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts

DeCarolis, J. F., Jaramillo, P., Johnson, J. X., McCollum, D. L., Trutnevyte, E., Daniels, D. C., … Zhou, Y. (2020, November 23). Joule, Vol. 4, pp. 2523–2526.

Modelling and design of wind‐solar hybrid generation projects in long‐term energy auctions: a multi‐objective optimisation approach

Aquila, G., Queiroz, A. R., Lima, L. M. M., Balestrassi, P. P., Lima, J. W. M., & Pamplona, E. O. (2020, September 24). IET Renewable Power Generation, Vol. 14, pp. 2612–2619.

Open source energy system modeling using break-even costs to inform state-level policy: A North Carolina case study

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85093377128&partnerID=MN8TOARS

Real-Time Stochastic Optimization of Energy Storage Management Using Deep Learning-Based Forecasts for Residential PV Applications

Hafiz, F., Awal, M. A., Queiroz, A. R., & Husain, I. (2020, January 21). IEEE Transactions on Industry Applications, Vol. 56, pp. 2216–2226.

Wind energy investments facing uncertainties in the Brazilian electricity spot market: A real options approach

Aquila, G., Queiroz, A. R., Balestrassi, P. P., Junior, P. R., Rocha, L. C. S., Pamplona, E. O., & Nakamura, W. T. (2020, October 24). Sustainable Energy Technologies and Assessments, Vol. 42.

Building conflict uncertainty into electricity planning: A South Sudan case study

Patankar, N., Queiroz, A. R., DeCarolis, J. F., Bazilian, M. D., & Chattopadhyay, D. (2019, February 3). Energy Sustainable Development/Energy for Sustainable Development, Vol. 49, pp. 53–64.

Coordinated Control of PEV and PV-Based Storages in Residential Systems Under Generation and Load Uncertainties

Hafiz, F., Queiroz, A. R., & Husain, I. (2019, July 18). IEEE Transactions on Industry Applications, Vol. 55, pp. 5524–5532.

Efficiency analysis for performance evaluation of electricity distribution companies

ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 1569–1581. http://www.scopus.com/inward/record.url?eid=2-s2.0-85079664013&partnerID=MN8TOARS

Open Source Energy System Modeling Using Break-Even Costs to Inform State-Level Policy: A North Carolina Case Study

Li, B., Thomas, J., Queiroz, A. R., & DeCarolis, J. F. (2019, December 13). Environmental Science & Technology, Vol. 54, pp. 665–676.

Optimizing routing and tower spotting of electricity transmission lines: An integration of geographical data and engineering aspects into decision-making

Santos, A. H. M., Lima, R. M., Pereira, C. R. S., Osis, R., Medeiros, G. O. S., Queiroz, A. R., … Junior, E. L. C. (2019, August 1). Electric Power Systems Research, Vol. 176.

Real-time Stochastic Optimization of Energy Storage Management using Rolling Horizon Forecasts for Residential PV Applications

Hafiz, F., Awal, M. A., Queiroz, A. R., & Husain, I. (2019, September 1). 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019.

Repurposing an energy system optimization model for seasonal power generation planning

Energy, 181, 1321–1330.

US Energy-Related Greenhouse Gas Emissions in the Absence of Federal Climate Policy

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094022064&partnerID=MN8TOARS

Utilising demand response for distribution service restoration to achieve grid resiliency against natural disasters

Hafiz, F., Chen, B., Chen, C., Queiroz, A. R., & Husain, I. (2019, March 29). IET Generation Transmission & Distribution, Vol. 13, pp. 2942–2950.

Analysis of multiple solutions in the calculus of firm energy

Faria, V. A. D., Queiroz, A. R., Lima, L. M. M., & Lima, J. W. M. (2018, May 1). 2018 Simposio Brasileiro De Sistemas Eletricos (SBSE), pp. 1–6.

Cooperative game theory and last addition method in the allocation of firm energy rights

Faria, V. A. D., Queiroz, A. R., Lima, L. M. M., & Lima, J. W. M. (2018, June 15). Applied Energy, Vol. 226, pp. 905–915.

Coordinated Control of PEV and PV-based Storage System under Generation and Load Uncertainties

Hafiz, F., Queiroz, A. R., & Husain, I. (2018, September 1). 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018.

Hydropower revenues under the threat of climate change in Brazil

Queiroz, A. R., Faria, V. A. D., Lima, L. M. M., & Lima, J. W. M. (2018, October 11). Renewable Energy, Vol. 133, pp. 873–882.

Multi-objective optimization applied for designing hybrid power generation systems in isolated networks

Fonseca, M. N., Oliveira Pamplona, E., Queiroz, A. R., Mello Valerio, V. E., Aquila, G., & Silva, S. R. (2018, January 4). Solar Energy, Vol. 161, pp. 207–219.

Proposed method for contracting of wind-photovoltaic projects connected to the Brazilian electric system using multiobjective programming

Aquila, G., Rocha, L. C. S., Oliveira Pamplona, E., Queiroz, A. R., Junior, P. R., Balestrassi, P. P., & Fonseca, M. N. (2018, September 6). Renewable and Sustainable Energy Reviews, Vol. 97, pp. 377–389.

Solar Generation, Storage, and Electric Vehicles in Power Grids: Challenges and Solutions with Coordinated Control at the Residential Level

Hafiz, F., Queiroz, A. R., & Husain, I. (2018, November 27). IEEE Electrification Magazine, Vol. 6, pp. 83–90.

US Energy-Related Greenhouse Gas Emissions in the Absence of Federal Climate Policy

Eshraghi, H., Queiroz, A. R., & DeCarolis, J. F. (2018, August 21). Environmental Science & Technology, Vol. 52, pp. 9595–9604.

Weight limits in the DEA benchmarking model for Brazilian electricity distribution companies

Medeiros, G. O. S., Lima, J. W. M., Lima, L. M. M., & Queiroz, A. R. (2018, May 1). 2018 Simposio Brasileiro De Sistemas Eletricos (SBSE), pp. 1–6.

Analysis of the wind average speed in different Brazilian states using the nested GR&R measurement system

Aquila, G., Peruchi, R. S., Junior, P. R., Rocha, L. C. S., Queiroz, A. R., Oliveira Pamplona, E., & Balestrassi, P. P. (2017, November 5). Measurement, Vol. 115, pp. 217–222.

Cost-benefit assessment challenges for a smart distribution system: A case study

Sun, L. S., Thomas, J., Singh, S., Li, D. X., Baran, M., Lubkeman, D., … al. (2017, July 1). 2017 Ieee Power & Energy Society General Meeting, pp. 1–5.

Multi-stage stochastic optimization for a PV-storage hybrid unit in a household

Hafiz, F., Queiroz, A. R., & Husain, I. (2017, October 1). 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, pp. 1–7.

The economics of electricity generation from Gulf Stream currents

Li, B., Queiroz, A. R., DeCarolis, J. F., Bane, J., He, R., Keeler, A. G., & Neary, V. S. (2017, June 9). Energy, Vol. 134, pp. 649–658.

Wind power feasibility analysis under uncertainty in the Brazilian electricity market

Aquila, G., Junior, P. R., Oliveira Pamplona, E., & Queiroz, A. R. (2017, May 2). Energy Economics, Vol. 65, pp. 127–136.

An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience

Aquila, G., Oliveira Pamplona, E., Queiroz, A. R., Junior, P. R., & Fonseca, M. N. (2016, December 8). Renewable and Sustainable Energy Reviews, Vol. 70, pp. 1090–1098.

Climate change impacts in the energy supply of the Brazilian hydro-dominant power system

Queiroz, A. R., Lima, L. M. M., Lima, J. W. M., Silva, B. C., & Scianni, L. A. (2016, July 27). Renewable Energy, Vol. 99, pp. 379–389.

Least‐cost path analysis and multi‐criteria assessment for routing electricity transmission lines

Lima, R. M., Osis, R., Queiroz, A. R., & Santos, A. H. M. (2016, August 24). IET Generation Transmission & Distribution, Vol. 10, pp. 4222–4230.

Stochastic hydro-thermal scheduling optimization: An overview

Queiroz, A. R. (2016, May 12). Renewable and Sustainable Energy Reviews, Vol. 62, pp. 382–395.

Wind power generation: An impact analysis of incentive strategies for cleaner energy provision in Brazil

Aquila, G., Rocha, L. C. S., Junior, P. R., Oliveira Pamplona, E., Queiroz, A. R., & Paiva, A. P. (2016, August 3). Journal of Cleaner Production, Vol. 137, pp. 1100–1108.

Effects of wind penetration in the scheduling of a hydro-dominant power system

Silva, S. R., Queiroz, A. R., Lima, L. M. M., & Lima, J. W. M. (2014, July 1). IEEE Power and Energy Society General Meeting.

Sharing cuts under aggregated forecasts when decomposing multi-stage stochastic programs

Queiroz, A. R., & Morton, D. P. (2013, March 21). Operations Research Letters, Vol. 41, pp. 311–316.

The influence of climate change on hydro generation in Brazil

Scianni, L. A., Queiroz, A. R., Lima, L. M. M., & Lima, J. W. M. (2013, June 1). 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.

From voltage level to locational pricing of distribution network: The Brazilian experience

Lima, L. M. M., Queiroz, A. R., & Lima, J. W. M. (2011, July 1). IEEE Power and Energy Society General Meeting.

Thermal generation investment analysis using decision tools

Queiroz, A. R., Lima, L. M. M., & Lima, J. W. M. (2011, July 1). IEEE Power and Energy Society General Meeting.

Determining the optimal transmission system usage contracts for a distribution company

Queiroz, A. R., Lima, L. M. M., Morton, D. P., & Lima, J. W. M. (2010, July 1). IEEE PES General Meeting, PES 2010.

Estimation of electricity elasticity for demand rates and load curve in Brazil

Guardia, E. C., Queiroz, A. R., & Lima, J. W. M. (2010, July 1). IEEE PES General Meeting, PES 2010.

The influence of operational marginal cost simulation methods on electricity contract portfolio strategies in Brazil

16th Power Systems Computation Conference, PSCC 2008. http://www.scopus.com/inward/record.url?eid=2-s2.0-84944097160&partnerID=MN8TOARS

Simulating Electricity Spot Prices in Brazil Using Neural Network and Design of Experiments

Queiroz, A. R., Oliveira, F. A., Lima, J. W. M., & Balestrassi, P. P. (2007, July 1). 2007 IEEE Lausanne POWERTECH, Proceedings, pp. 2029–2034.