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The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.In order to achieve carbon targets, good forecasts of peaks are essential. For instance, shifting demand or charging battery depends on correct demand predictions in time. Majority of forecasting algorithms historically were focused on average load prediction. In order to model the peaks, methods from extreme value theory are applied. This allows us to study extremes without making any assumption on the central parts of demand distribution and to predict beyond the range of available data. While applied on individual loads, the techniques described in this book can be extended naturally to substations, or to commercial settings. Extreme value theory techniques presented can be also used across other disciplines, for example for predicting heavy rainfalls, wind speed, solar radiation and extreme weather events. The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general.

Charles Dudley Warner

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This collection brings together a diverse range of scholars, including historians of pre-colonial, colonial, and contemporary Africa, along with anthropologists, who develop fresh arguments and reassessments of religious, cultural, and social change pertaining to Africa. The result is a fascinating array of research that offers critical, creative, and constructive analyses of religious change on the African continent, from the medieval period to the present.

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It was a modern thriving economy one day, and then, suddenly, the food disappeared from the shelves, the banks closed, and the ships stopped arriving. Iceland in 2008 experienced an unprecedented economic meltdown that struck fear in the hearts of people all over the world. If it could happen here, it could happen anywhere. The economic crisis led to a political crisis, with resignations galore. The whining and wailing about the disaster continues to this day, with most commentators blaming deregulation and the free market. In Deep Freeze, economists Philipp Bagus and David Howden demonstrate that the real cause of the calamity was bad central bank policy. Rates were way too low, banks were too big to fail, housing was implicitly guaranteed, and banks were borrowing short term from abroad to finance long term bonds. The authors discuss the implications of this maturity mismatching and zero in on the central bank policies that encouraged unsound practices. They demonstrate the cause and effect without a shadow of a doubt, using vast amounts of data and a detailed sector-by-sector look at the economy of Iceland. What they find is another instance of the Austrian Theory of the Business Cycle, working itself out in a way that is customized for a time and place. Toby Baxendale writes the introducton to this story that reads like a great novel. It serves as a reminder that central banking policies aren't just about monetary arcana. They affect our lives in profound and sometimes catastrophic ways. The Iceland Freeze is one of the great historical cases that makes Mises’s point. Let it always serve as a reminder of what happens when the laws of the market are papered over by politicians and central bankers.

Right Now Residential

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This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.

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Grover Cleveland

PD-US

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The paradigm in the design of all human activity that requires energy for its development must change from the past. We must change the processes of product manufacturing and functional services. This is necessary in order to mitigate the ecological footprint of man on the Earth, which cannot be considered as a resource with infinite capacities. To do this, every single process must be analyzed and modified, with the aim of decarbonising each production sector. This collection of articles has been assembled to provide ideas and new broad-spectrum contributions for these purposes.

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