Forecast-based stochastic optimization for a load powered by wave energy

Dillon, Trent; Maurer, Benjamin; Lawson, Michael; Polagye, Brian

doi:10.1016/j.renene.2024.120330

Title: Forecast-based stochastic optimization for a load powered by wave energy

Journal Article · 30 April 2024 · Renewable Energy

DOI: https://doi.org/10.1016/j.renene.2024.120330 · OSTI ID:2336609

; Maurer, Benjamin;

; Polagye, Brian

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Sponsoring Organization:: USDOE

OSTI ID:: 2336609

Alternate ID(s):: OSTI ID: 2406876

Journal Information:: Renewable Energy, Journal Name: Renewable Energy Journal Issue: C Vol. 226; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (51)

A Survey of Applications of Markov Decision Processes White, D. J. Journal of the Operational Research Society, Vol. 44, Issue 11 https://doi.org/10.1057/jors.1993.181	journal	November 1993
Technical and economic assessment of grid-independent hybrid photovoltaic–diesel–battery power systems for commercial loads in desert environments Shaahid, S. M.; Elhadidy, M. A. Renewable and Sustainable Energy Reviews, Vol. 11, Issue 8 https://doi.org/10.1016/j.rser.2006.03.001	journal	October 2007
Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study Ali, Amad; Shakoor, Rabia; Raheem, Abdur Energies, Vol. 15, Issue 13 https://doi.org/10.3390/en15134727	journal	June 2022
Offshore infrastructure planning using a vine copula approach for environmental conditions: an application for replacement maintenance of tidal energy infrastructure de Nie, Ruben; Leontaris, Georgios; Hoogendoorn, Don Structure and Infrastructure Engineering, Vol. 15, Issue 5 https://doi.org/10.1080/15732479.2018.1558268	journal	January 2019
Reinforcement learning of non-Markov decision processes Whitehead, Steven D.; Lin, Long-Ji Artificial Intelligence, Vol. 73, Issue 1-2 https://doi.org/10.1016/0004-3702(94)00012-P	journal	February 1995
Review on probabilistic forecasting of wind power generation Zhang, Yao; Wang, Jianxue; Wang, Xifan Renewable and Sustainable Energy Reviews, Vol. 32 https://doi.org/10.1016/j.rser.2014.01.033	journal	April 2014
Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach Cornejo-Bueno, L.; Nieto-Borge, J. C.; García-Díaz, P. Renewable Energy, Vol. 97 https://doi.org/10.1016/j.renene.2016.05.094	journal	November 2016
Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources Widén, Joakim; Carpman, Nicole; Castellucci, Valeria Renewable and Sustainable Energy Reviews, Vol. 44 https://doi.org/10.1016/j.rser.2014.12.019	journal	April 2015
Online 24-h solar power forecasting based on weather type classification using artificial neural network Chen, Changsong; Duan, Shanxu; Cai, Tao Solar Energy, Vol. 85, Issue 11 https://doi.org/10.1016/j.solener.2011.08.027	journal	November 2011
Assessing the value of forecast-based dispatch in the operation of off-grid rural microgrids Mazzola, Simone; Vergara, Claudio; Astolfi, Marco Renewable Energy, Vol. 108 https://doi.org/10.1016/j.renene.2017.02.040	journal	August 2017
Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach Bennett, Casey C.; Hauser, Kris Artificial Intelligence in Medicine, Vol. 57, Issue 1 https://doi.org/10.1016/j.artmed.2012.12.003	journal	January 2013
Benefits of solar forecasting for energy imbalance markets Kaur, Amanpreet; Nonnenmacher, Lukas; Pedro, Hugo T. C. Renewable Energy, Vol. 86 https://doi.org/10.1016/j.renene.2015.09.011	journal	February 2016
Optimal Predictive Maintenance Policy for an Ocean Wave Farm Pradhan, Parth; Kishore, Shalinee; Defourny, Boris IEEE Transactions on Sustainable Energy, Vol. 10, Issue 4 https://doi.org/10.1109/TSTE.2018.2877437	journal	October 2019
Impact of Public Aggregate Wind Forecasts on Electricity Market Outcomes Exizidis, Lazaros; Kazempour, Jalal; Pinson, Pierre IEEE Transactions on Sustainable Energy, Vol. 8, Issue 4 https://doi.org/10.1109/TSTE.2017.2682299	journal	October 2017
Renewable energy based off-grid rural electrification in Uttarakhand state of India: Technology options, modelling method, barriers and recommendations Chauhan, Anurag; Saini, R. P. Renewable and Sustainable Energy Reviews, Vol. 51 https://doi.org/10.1016/j.rser.2015.06.043	journal	November 2015
Battery energy storage system size determination in renewable energy systems: A review Yang, Yuqing; Bremner, Stephen; Menictas, Chris Renewable and Sustainable Energy Reviews, Vol. 91 https://doi.org/10.1016/j.rser.2018.03.047	journal	August 2018
Maritime Renewable Energy Markets: Power From the Sea Copping, Andrea; LiVecchi, Al; Spence, Heather Marine Technology Society Journal, Vol. 52, Issue 5 https://doi.org/10.4031/MTSJ.52.5.3	journal	September 2018
A critical review on the utilization of storage and demand response for the implementation of renewable energy microgrids Robert, Fabien Chidanand; Sisodia, Gyanendra Singh; Gopalan, Sundararaman Sustainable Cities and Society, Vol. 40 https://doi.org/10.1016/j.scs.2018.04.008	journal	July 2018
Deep learning based ensemble approach for probabilistic wind power forecasting Wang, Huai-zhi; Li, Gang-qiang; Wang, Gui-bin Applied Energy, Vol. 188 https://doi.org/10.1016/j.apenergy.2016.11.111	journal	February 2017
A Markovian approach to power generation capacity assessment of floating wave energy converters Arzaghi, Ehsan; Abaei, Mohammad Mahdi; Abbassi, Rouzbeh Renewable Energy, Vol. 146 https://doi.org/10.1016/j.renene.2019.08.099	journal	February 2020
An Online Optimal Dispatch Schedule for CCHP Microgrids Based on Model Predictive Control Gu, Wei; Wang, Zhihe; Wu, Zhi IEEE Transactions on Smart Grid, Vol. 8, Issue 5 https://doi.org/10.1109/TSG.2016.2523504	journal	September 2017
Significant wave height and energy flux range forecast with machine learning classifiers Fernández, J. C.; Salcedo-Sanz, S.; Gutiérrez, P. A. Engineering Applications of Artificial Intelligence, Vol. 43 https://doi.org/10.1016/j.engappai.2015.03.012	journal	August 2015
Thermal runaway mechanism of lithium ion battery for electric vehicles: A review Feng, Xuning; Ouyang, Minggao; Liu, Xiang Energy Storage Materials, Vol. 10 https://doi.org/10.1016/j.ensm.2017.05.013	journal	January 2018
Degradation diagnostics for lithium ion cells Birkl, Christoph R.; Roberts, Matthew R.; McTurk, Euan Journal of Power Sources, Vol. 341 https://doi.org/10.1016/j.jpowsour.2016.12.011	journal	February 2017
Coastal Data Information Program (CDIP) McWhorter, Jennifer; Wright, Darren; Thomas, Julie Research Ideas and Outcomes, Vol. 2 https://doi.org/10.3897/rio.2.e8827	journal	April 2016
Forecasting ocean waves: Comparing a physics-based model with statistical models Reikard, Gordon; Rogers, W. Erick Coastal Engineering, Vol. 58, Issue 5 https://doi.org/10.1016/j.coastaleng.2010.12.001	journal	May 2011
On the potential synergies and applications of wave energy converters: A review Clemente, D.; Rosa-Santos, P.; Taveira-Pinto, F. Renewable and Sustainable Energy Reviews, Vol. 135 https://doi.org/10.1016/j.rser.2020.110162	journal	January 2021
Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates Mokhtara, Charafeddine; Negrou, Belkhir; Bouferrouk, Abdessalem Energy Conversion and Management, Vol. 221 https://doi.org/10.1016/j.enconman.2020.113192	journal	October 2020
A machine learning framework to forecast wave conditions James, Scott C.; Zhang, Yushan; O'Donncha, Fearghal Coastal Engineering, Vol. 137 https://doi.org/10.1016/j.coastaleng.2018.03.004	journal	July 2018
Reinforcement learning is direct adaptive optimal control Sutton, R. S.; Barto, A. G.; Williams, R. J. IEEE Control Systems, Vol. 12, Issue 2, p. 19-22 https://doi.org/10.1109/37.126844	journal	April 1992
Future Vision for Autonomous Ocean Observations Whitt, Christopher; Pearlman, Jay; Polagye, Brian Frontiers in Marine Science, Vol. 7 https://doi.org/10.3389/fmars.2020.00697	journal	September 2020
The "Swan" Wave Model for Shallow Water Booij, N.; Holthuijsen, L. H.; Ris, R. C. Coastal Engineering 1996 https://doi.org/10.1061/9780784402429.053	conference	August 1997
A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting Haque, Ashraf Ul; Nehrir, M. Hashem; Mandal, Paras IEEE Transactions on Power Systems, Vol. 29, Issue 4 https://doi.org/10.1109/TPWRS.2014.2299801	journal	July 2014
Powering the Blue Economy: Progress Exploring Marine Renewable Energy Integration With Ocean Observations Cavagnaro, Robert J.; Copping, Andrea E.; Green, Rebecca Marine Technology Society Journal, Vol. 54, Issue 6 https://doi.org/10.4031/MTSJ.54.6.11	journal	November 2020
Dynamic Programming and Statistical Communication Theory Bellman, Richard; Kalaba, Robert Proceedings of the National Academy of Sciences, Vol. 43, Issue 8 https://doi.org/10.1073/pnas.43.8.749	journal	August 1957
A review on the selected applications of forecasting models in renewable power systems Ahmed, Adil; Khalid, Muhammad Renewable and Sustainable Energy Reviews, Vol. 100 https://doi.org/10.1016/j.rser.2018.09.046	journal	February 2019
Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review Mandelli, Stefano; Barbieri, Jacopo; Mereu, Riccardo Renewable and Sustainable Energy Reviews, Vol. 58 https://doi.org/10.1016/j.rser.2015.12.338	journal	May 2016
Off-grid renewable energy in remote Arctic areas: An analysis of the Russian Far East Boute, Anatole Renewable and Sustainable Energy Reviews, Vol. 59 https://doi.org/10.1016/j.rser.2016.01.034	journal	June 2016
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment Xu, Bolun; Oudalov, Alexandre; Ulbig, Andreas IEEE Transactions on Smart Grid, Vol. 9, Issue 2 https://doi.org/10.1109/TSG.2016.2578950	journal	March 2018
Comparative analysis of hybrid renewable energy systems for off-grid applications in Southern Cameroons Muh, Erasmus; Tabet, Fouzi Renewable Energy, Vol. 135 https://doi.org/10.1016/j.renene.2018.11.105	journal	May 2019
A regime-dependent artificial neural network technique for short-range solar irradiance forecasting McCandless, T. C.; Haupt, S. E.; Young, G. S. Renewable Energy, Vol. 89 https://doi.org/10.1016/j.renene.2015.12.030	journal	April 2016
Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage Khalid, M.; Savkin, A. V. Renewable Energy, Vol. 64 https://doi.org/10.1016/j.renene.2013.09.043	journal	April 2014
Impact of renewable energy on rural electrification in Malaysia: a review Hossain, Farhad M.; Hasanuzzaman, M.; Rahim, N. A. Clean Technologies and Environmental Policy, Vol. 17, Issue 4 https://doi.org/10.1007/s10098-014-0861-1	journal	October 2014
Progress in ocean wave forecasting Janssen, Peter A. E. M. Journal of Computational Physics, Vol. 227, Issue 7 https://doi.org/10.1016/j.jcp.2007.04.029	journal	March 2008
On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting Khalid, Muhammad; Aguilera, Ricardo P.; Savkin, Andrey V. Applied Energy, Vol. 211 https://doi.org/10.1016/j.apenergy.2017.11.061	journal	February 2018
Quantifying the global wave power resource Gunn, Kester; Stock-Williams, Clym Renewable Energy, Vol. 44 https://doi.org/10.1016/j.renene.2012.01.101	journal	August 2012
Innovative Real-Time Observing Capabilities for Remote Coastal Regions Janzen, Carol; McCammon, Molly; Weingartner, Thomas Frontiers in Marine Science, Vol. 6 https://doi.org/10.3389/fmars.2019.00176	journal	May 2019
Adaptable Monitoring Package Development and Deployment: Lessons Learned for Integrated Instrumentation at Marine Energy Sites Polagye, Brian; Joslin, James; Murphy, Paul Journal of Marine Science and Engineering, Vol. 8, Issue 8 https://doi.org/10.3390/jmse8080553	journal	July 2020
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction Ak, Ronay; Fink, Olga; Zio, Enrico IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, Issue 8 https://doi.org/10.1109/TNNLS.2015.2418739	journal	August 2016
Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters Wang, Fei; Mi, Zengqiang; Su, Shi Energies, Vol. 5, Issue 5 https://doi.org/10.3390/en5051355	journal	May 2012
Quantifying the Economic and Grid Reliability Impacts of Improved Wind Power Forecasting Wang, Qin; Martinez-Anido, Carlo Brancucci; Wu, Hongyu IEEE Transactions on Sustainable Energy, Vol. 7, Issue 4 https://doi.org/10.1109/TSTE.2016.2560628	journal	October 2016

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