This paper suggests a trading market platform designed for making P2P energy transactions. The problem is formulated in terms of Knapsack 0-1 Problem and Dynamic Programming Algorithm is implemented to bring maximum financial benefit to prosumers. The communication between agents is achieved through MQTT message protocol and agents are represented by Raspberry Pi microprocessor. Case study is presented for a neighborhood of 3 prosumers and 4 consumers and simulation results show that during every auction seller gets the highest economic surplus, while consumers get locally produced energy at cheaper than grid price.Moreover, within the scope of this research project energy forecasting and blockchain are also covered. Since the proposed model is 30 minutes ahead, accurate prediction of generation and consumption is essential. ARIMA estimation model was chosen among other four compared models due to its high accuracy. Ethereum smart contracts are integrated to provide more transparency and security to the framework.
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Este documento es un informe del proyecto final escrito por Aisultan Alimkhan, Ileskhan Kalysh e Ilyas Temirtayev. El supervisor principal del proyecto final es el profesor H.S.V. Kumar Nunna y el co-supervisor es el profesor Vipin Kizheppatt. El propósito de este informe es ilustrar el trabajo realizado por nuestro equipo en el marco del proyecto de último año.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper suggests a trading market platform designed for making P2P energy transactions. The problem is formulated in terms of Knapsack 0-1 Problem and Dynamic Programming Algorithm is implemented to bring maximum financial benefit to prosumers. The communication between agents is achieved through MQTT message protocol and agents are represented by Raspberry Pi microprocessor. Case study is presented for a neighborhood of 3 prosumers and 4 consumers and simulation results show that during every auction seller gets the highest economic surplus, while consumers get locally produced energy at cheaper than grid price.Moreover, within the scope of this research project energy forecasting and blockchain are also covered. Since the proposed model is 30 minutes ahead, accurate prediction of generation and consumption is essential. ARIMA estimation model was chosen among other four compared models due to its high accuracy. Ethereum smart contracts are integrated to provide more transparency and security to the framework. 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200438263
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alimkhan AisultanThis document is a report of the capstone project written by Aisultan Alimkhan, Ileskhan Kalysh and Ilyas Temirtayev. The main supervisor of the capstone project is Prof. H.S.V S. Kumar Nunna and co-supervisor is Pro. Bestandsnummer des Verkäufers 385891653
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper suggests a trading market platform designed for making P2P energy transactions. The problem is formulated in terms of Knapsack 0-1 Problem and Dynamic Programming Algorithm is implemented to bring maximum financial benefit to prosumers. The communication between agents is achieved through MQTT message protocol and agents are represented by Raspberry Pi microprocessor. Case study is presented for a neighborhood of 3 prosumers and 4 consumers and simulation results show that during every auction seller gets the highest economic surplus, while consumers get locally produced energy at cheaper than grid price.Moreover, within the scope of this research project energy forecasting and blockchain are also covered. Since the proposed model is 30 minutes ahead, accurate prediction of generation and consumption is essential. ARIMA estimation model was chosen among other four compared models due to its high accuracy. Ethereum smart contracts are integrated to provide more transparency and security to the framework.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200438263
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper suggests a trading market platform designed for making P2P energy transactions. The problem is formulated in terms of Knapsack 0-1 Problem and Dynamic Programming Algorithm is implemented to bring maximum financial benefit to prosumers. The communication between agents is achieved through MQTT message protocol and agents are represented by Raspberry Pi microprocessor. Case study is presented for a neighborhood of 3 prosumers and 4 consumers and simulation results show that during every auction seller gets the highest economic surplus, while consumers get locally produced energy at cheaper than grid price.Moreover, within the scope of this research project energy forecasting and blockchain are also covered. Since the proposed model is 30 minutes ahead, accurate prediction of generation and consumption is essential. ARIMA estimation model was chosen among other four compared models due to its high accuracy. Ethereum smart contracts are integrated to provide more transparency and security to the framework. Bestandsnummer des Verkäufers 9786200438263
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Taschenbuch. Zustand: Neu. Transactive Energy Management System | Energy trading framework for smart microgrids | Aisultan Alimkhan (u. a.) | Taschenbuch | 60 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200438263 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 117556968
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