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Ensemble Forecasting Applied to Power Systems
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Probabilistic Forecasting and Bayesian Data Assimilation
-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based;
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Probabilistic Forecasting and Bayesian Data Assimilation
-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based;
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Advances in Electric Power and Energy Systems
A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field;
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Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling
of electric power generation systems. Since the ability to cope with uncertainty and risk is crucial for power generating companies, the second part;
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Statistical Methods in the Atmospheric Sciences
dedicated to ensemble forecasting. Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric;
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Optimization in Renewable Energy Systems
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to;
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Filtering Complex Turbulent Systems
and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten;
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Ensemble Modelling for Disease Forecasting
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Artificial Neural Networks for Engineering Applications
cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification;
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Rainfall Forecasting
Rainfall is often considered as the source of the hydrological cycle. Being able to forecast rainfall accurately has immense practical;
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Optimal Control And Forecasting Of Complex Dynamical Systems
. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to;
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Statistical Postprocessing of Ensemble Forecasts
introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for;
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Predictability of Weather and Climate
affect weather and climate and in techniques used to model and forecast them. This book, first published in 2006, brings together some of the;
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Predictability of Weather and Climate
affect weather and climate and in techniques used to model and forecast them. This book, first published in 2006, brings together some of the;
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Optimization Methods Applied to Power Systems
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Advanced Load Dispatch for Power Systems
The balancing of power generation with load in power systems is a vital and delicate task. Power system demands vary according to the time;
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Optimization Methods Applied to Power Systems
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Intelligent knowledge based systems in electrical power engineering
Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry;
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Handbook of Artificial Intelligence Techniques in Photovoltaic Systems
provides readers with a comprehensive and detailed overview of the role of artificial intelligence in PV systems. Covering up-to-date research and;
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A Practical Guide for Advanced Methods in Solar Photovoltaic Systems
implementation, output power forecasting based artificial intelligence technique (AI), high PV penetration, reconfigurable PV architectures and fault;
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Optimal Control, Expectations and Uncertainty
, and now make it possible for optimal control theory to be applied much more effectively to economic modeling and planning.;
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Machine Learning for Time Series Forecasting with Python
analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished;
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Electric Power Planning for Regulated and Deregulated Markets
must understand planning and operations of power systems to effectively participate in markets. This industry overview provides a description;
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Integrated Production, Control Systems
that enhance the teaching power of the text, allowing readers to solve real--life problems. Among programs included are growth forecasting;
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Renewable Energy Forecasting
applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about;
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