"Somewhere, there is always wind blowing or the sun shining." This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the European Union's 20-20-20 goal--to power 20 % of the EU energy consumption from renewables until 2020--, might mislead us over the problem that the go-to renewables readily available rely on a primary energy source mankind cannot control: the weather. At the same time, the notion of the smart grid introduces a vast array of new data coming from sensors in the power grid, at wind farms, power plants, transformers, and consumers. The new wealth of information might seem overwhelming, but can help to manage the different actors in the power grid. This book proposes to view the problem of power generation and distribution in the face of increased volatility as a problem of information distribution and processing. It enhances the power grid by turning its nodes into agents that forecast their local power balance from historical data, using artificial neural networks and the multi-part evolutionary training algorithm described in this book. They pro-actively communicate power demand and supply, adhering to a set of behavioral rules this book defines, and finally solve the 0-1 knapsack problem of choosing offers in such a way that not only solves the disequilibrium, but also minimizes line loss, by elegant modeling in the Boolean domain. The book shows that the Divide-et-Impera approach of a distributed grid control can lead to an efficient, reliable integration of volatile renewable energy sources into the power grid.
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Paperback. Etat : new. Paperback. ``Somewhere, there is always wind blowing or the sun shining.'' This maximcould lead the global shift from fossil to renewable energy sources,suggesting that there is enough energy available to be turned intoelectricity. But the already impressive numbers that are available today,along with the European Union's 20-20-20 goal---to power 20 % of the EU energyconsumption from renewables until 2020---, might mislead us over the problemthat the go-to renewables readily available rely on a primary energy sourcemankind cannot control: the weather.At the same time, the notion of the smart grid introduces a vast array of newdata coming from sensors in the power grid, at wind farms, power plants,transformers, and consumers. The new wealth of information might seemoverwhelming, but can help to manage the different actors in the power grid.This book proposes to view the problem of power generation and distribution inthe face of increased volatility as a problem of information distribution andprocessing.It enhances the power grid by turning its nodes into agents that forecasttheir local power balance from historical data, using artificial neuralnetworks and the multi-part evolutionary training algorithm described in thisbook. They pro-actively communicate power demand and supply, adhering to a setof behavioral rules this book defines, and finally solve the 0-1 knapsackproblem of choosing offers in such a way that not only solves thedisequilibrium, but also minimizes line loss, by elegant modeling in theBoolean domain. The book shows that the Divide-et-Impera approach of adistributed grid control can lead to an efficient, reliable integration ofvolatile renewable energy sources into the power grid. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783832545123
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Paperback. Etat : new. Paperback. ``Somewhere, there is always wind blowing or the sun shining.'' This maximcould lead the global shift from fossil to renewable energy sources,suggesting that there is enough energy available to be turned intoelectricity. But the already impressive numbers that are available today,along with the European Union's 20-20-20 goal---to power 20 % of the EU energyconsumption from renewables until 2020---, might mislead us over the problemthat the go-to renewables readily available rely on a primary energy sourcemankind cannot control: the weather.At the same time, the notion of the smart grid introduces a vast array of newdata coming from sensors in the power grid, at wind farms, power plants,transformers, and consumers. The new wealth of information might seemoverwhelming, but can help to manage the different actors in the power grid.This book proposes to view the problem of power generation and distribution inthe face of increased volatility as a problem of information distribution andprocessing.It enhances the power grid by turning its nodes into agents that forecasttheir local power balance from historical data, using artificial neuralnetworks and the multi-part evolutionary training algorithm described in thisbook. They pro-actively communicate power demand and supply, adhering to a setof behavioral rules this book defines, and finally solve the 0-1 knapsackproblem of choosing offers in such a way that not only solves thedisequilibrium, but also minimizes line loss, by elegant modeling in theBoolean domain. The book shows that the Divide-et-Impera approach of adistributed grid control can lead to an efficient, reliable integration ofvolatile renewable energy sources into the power grid. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783832545123
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