Nazanin Shabani: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems : An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of reservoir operation planning is… Mehr…
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time step to make the best use of available resources. This is done by evaluating the trade-off between the immediate and the future profit of power generation while meeting a set of constraints such as the continuity equations, transmission limits, generation and reservoir limits, flood control limits and load resource balance. Another important issue in these problems is uncertainty coming from spatial and temporal variability, inherent nature of a problem or parameter, errors in measurement due to human or technology inaccuracy and modeling errors. This research implements a Reinforcement Learning (RL) optimization algorithm to incorporate flood control constraints of the Columbia River Treaty. It considers the main sources of uncertainty in operating a large scale hydropower system: market prices and inflows by using a number of scenarios of historical data on inflow and energy prices in the learning process. The RL method reduces the time and computational effort needed to solve the operational planning problem. 124 pp. Englisch, Books<
Nazanin Shabani: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems : An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -The main objective of reservoir operation planning is to determine the amount o… Mehr…
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time step to make the best use of available resources. This is done by evaluating the trade-off between the immediate and the future profit of power generation while meeting a set of constraints such as the continuity equations, transmission limits, generation and reservoir limits, flood control limits and load resource balance. Another important issue in these problems is uncertainty coming from spatial and temporal variability, inherent nature of a problem or parameter, errors in measurement due to human or technology inaccuracy and modeling errors. This research implements a Reinforcement Learning (RL) optimization algorithm to incorporate flood control constraints of the Columbia River Treaty. It considers the main sources of uncertainty in operating a large scale hydropower system: market prices and inflows by using a number of scenarios of historical data on inflow and energy prices in the learning process. The RL method reduces the time and computational effort needed to solve the operational planning problem. 124 pp. Englisch, Books<
[ED: Kartoniert / Broschiert], [PU: LAP Lambert Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The main objective o… Mehr…
[ED: Kartoniert / Broschiert], [PU: LAP Lambert Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time st, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Hardcover, 124, [GW: 201g], 1/2011, Banküberweisung, PayPal<
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Nazanin Shabani, Ziad Shawwash: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems: An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
Shabani, Nazanin; Shawwash, Ziad: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - neues Buch
Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems : An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of reservoir operation planning is… Mehr…
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time step to make the best use of available resources. This is done by evaluating the trade-off between the immediate and the future profit of power generation while meeting a set of constraints such as the continuity equations, transmission limits, generation and reservoir limits, flood control limits and load resource balance. Another important issue in these problems is uncertainty coming from spatial and temporal variability, inherent nature of a problem or parameter, errors in measurement due to human or technology inaccuracy and modeling errors. This research implements a Reinforcement Learning (RL) optimization algorithm to incorporate flood control constraints of the Columbia River Treaty. It considers the main sources of uncertainty in operating a large scale hydropower system: market prices and inflows by using a number of scenarios of historical data on inflow and energy prices in the learning process. The RL method reduces the time and computational effort needed to solve the operational planning problem. 124 pp. Englisch, Books<
Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems : An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -The main objective of reservoir operation planning is to determine the amount o… Mehr…
[EAN: 9783845422954], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time step to make the best use of available resources. This is done by evaluating the trade-off between the immediate and the future profit of power generation while meeting a set of constraints such as the continuity equations, transmission limits, generation and reservoir limits, flood control limits and load resource balance. Another important issue in these problems is uncertainty coming from spatial and temporal variability, inherent nature of a problem or parameter, errors in measurement due to human or technology inaccuracy and modeling errors. This research implements a Reinforcement Learning (RL) optimization algorithm to incorporate flood control constraints of the Columbia River Treaty. It considers the main sources of uncertainty in operating a large scale hydropower system: market prices and inflows by using a number of scenarios of historical data on inflow and energy prices in the learning process. The RL method reduces the time and computational effort needed to solve the operational planning problem. 124 pp. Englisch, Books<
[ED: Kartoniert / Broschiert], [PU: LAP Lambert Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The main objective o… Mehr…
[ED: Kartoniert / Broschiert], [PU: LAP Lambert Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The main objective of reservoir operation planning is to determine the amount of water released from a reservoir and the amount of energy traded in each time st, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Hardcover, 124, [GW: 201g], 1/2011, Banküberweisung, PayPal<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Moluna GmbH
Nazanin Shabani, Ziad Shawwash: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems: An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - Taschenbuch
Shabani, Nazanin; Shawwash, Ziad: Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System - neues Buch
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Detailangaben zum Buch - Uncertainty in Optimization of Multi-Reservoir Hydroelectric Systems: An Application of Reinforcement Learning Method Case Study: British Columbia Hydro Power System
EAN (ISBN-13): 9783845422954 ISBN (ISBN-10): 3845422955 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2011 Herausgeber: LAP LAMBERT Academic Publishing
Buch in der Datenbank seit 2009-02-05T20:50:24+01:00 (Vienna) Detailseite zuletzt geändert am 2024-01-21T01:07:10+01:00 (Vienna) ISBN/EAN: 3845422955
ISBN - alternative Schreibweisen: 3-8454-2295-5, 978-3-8454-2295-4 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: hydroelectric power, hydro power, power learning, case system