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This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com. This is an open access book.
Maths for computer scientists --- Communications engineering / telecommunications --- Maths for engineers --- Probability & statistics --- Probability and Statistics in Computer Science --- Communications Engineering, Networks --- Mathematical and Computational Engineering --- Probability Theory and Stochastic Processes --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Mathematical and Computational Engineering Applications --- Probability Theory --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences --- Applied probability --- Hypothesis testing --- Detection theory --- Expectation maximization --- Stochastic dynamic programming --- Machine learning --- Stochastic gradient descent --- Deep neural networks --- Matrix completion --- Linear and polynomial regression --- Open Access --- Mathematical & statistical software --- Stochastics
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The transition to 100% renewable energy in the future is one of the most important ways of achieving "carbon peaking and carbon neutrality" and of reducing the adverse effects of climate change. In this process, the safe, stable and economical operation of renewable energy generation systems, represented by hydro-, wind and solar power, is particularly important, and has naturally become a key concern for researchers and engineers. Therefore, this book focuses on the fundamental and applied research on the modeling, control, monitoring and diagnosis of renewable energy generation systems, especially hydropower energy systems, and aims to provide some theoretical reference for researchers, power generation departments or government agencies.
Research & information: general --- Physics --- doubly-fed variable-speed pumped storage --- Hopf bifurcation --- stability analysis --- parameter sensitivity --- pumped storage unit --- degradation trend prediction --- maximal information coefficient --- light gradient boosting machine --- variational mode decomposition --- gated recurrent unit --- high proportional renewable power system --- active power --- change point detection --- maximum information coefficient --- cosine similarity --- anomaly detection --- thermal-hydraulic characteristics --- hydraulic oil viscosity --- hydraulic PTO --- wave energy converter --- pumped storage units --- pressure pulsation --- noise reduction --- sparrow search algorithm --- hybrid system --- facility agriculture --- chaotic particle swarms method --- operation strategy --- stochastic dynamic programming (SDP) --- power yield --- seasonal price --- reliability --- cascaded reservoirs --- doubly-fed variable speed pumped storage power station --- nonlinear modeling --- nonlinear pump turbine characteristics --- pumped storage units (PSUs) --- successive start-up --- ‘S’ characteristics --- low water head conditions --- multi-objective optimization --- fractional order PID controller (FOPID) --- hydropower units --- comprehensive deterioration index --- long and short-term neural network --- ensemble empirical mode decomposition --- approximate entropy --- 1D–3D coupling model --- transition stability --- sensitivity analysis --- hydro power
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During the past five decades, we have witnessed a tremendous evolution in water resource system management. Three characteristics of this evolution are of particular note: First, the application of the systems approach to complex water management problems has been established as one of the most important advances in the field of water resource management. Second, the past five decades have brought a remarkable transformation of attitude in the water resource management community towards environmental concerns and action to address these concerns. Third, applying the principles of sustainability to water resource decision-making requires major changes in the objectives on which decisions are based, and an understanding of the complicated inter-relationships between existing ecological, economic, and social factors. The Special Issue includes 15 contributions that offer insights into contemporary problems, approaches, and issues related to the management of complex water resources systems. It will be presumptuous to say that these 15 contributions characterize the success or failure of the systems approach to support water resources decision-making. However, these contributions offer interesting lessons from current experiences and highlight possible future work.
system dynamics --- system analysis --- complex water system --- uncertainty assessment --- climate change --- regional climate models --- averaging procedures --- HEC-HMS --- Lim river --- Lim water systems --- n/a --- artificial recharge --- groundwater --- treated wastewater --- freshwater resources --- water footprint --- water management --- wine production --- winemaking sector --- Italy --- SuDS --- decision-making --- Soft Systems --- ANP --- modelling --- stakeholder --- systems analyses --- water resources --- planning --- management --- implementation --- political processes --- innovation --- impact --- multi-purpose dam --- water resources systems --- performance-based engineering --- simulation --- resilience --- disaster --- risk --- perception --- community --- Canada --- integrated urban watershed management --- group decision-support system --- risk analysis --- group consensus --- Kashafroud watershed --- water policy --- water portfolio planning --- water resources management --- systems assessment --- adaptive capacity --- coupled human–natural systems --- integrated water resources management --- sociohydrology --- modeling perspectives --- agent-based modeling --- differential equations --- uncertainty --- artificial intelligence --- machine learning --- water resource modelling --- multiobjective optimisation --- river abstraction --- reservoir operation --- stochastic dynamic programming --- fuzzy optimization --- reservoir-river system --- water quantity-quality management --- socio-hydrology --- hydro-sociology --- human-water systems --- human-nature systems --- social-ecological systems --- CHANS --- SES --- socio-hydrologic modeling --- IWRM --- hydrology --- multireservoir operations --- optimization --- multi-agent reinforcement learning --- aggregation–decomposition --- neural networks --- systems --- complexity --- coupled human-natural systems --- aggregation-decomposition
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River catchments and reservoirs play a central role in water security, food supply, flood risk management, hydropower generation, and ecosystem services; however, they are now under increasing pressure from population growth, economic activities, and changing climate means and extremes in many parts of the world. Adaptive management of river catchments and reservoirs requires an in-depth understanding of the impacts of future uncertainties and thus the development of robust, sustainable solutions to meet the needs of various stakeholders and the environment. To tackle the huge challenges in moving towards adaptive catchment management, this book presents the latest developments in cutting-edge knowledge, novel methodologies, innovative management strategies, and case studies, focusing on the following themes: reservoir dynamics and impact analysis of dam construction, optimal reservoir operation, climate change impacts on hydrological processes and water management, and integrated catchment management.
downscaling --- suspended sediment concentration --- modeling --- South-to-North Water Transfer Project --- sensitivity analysis --- simulation --- protection zone --- reservoirs --- mussel --- sediment regime --- resilience and robustness --- optimal flood control operation --- multi-objective model --- optimization --- scenario analysis --- floodplain vertical shape index --- aftereffect --- lentic habitats --- energy --- stochastic linear programming --- ?-constrained method --- Tekeze basin --- runoff --- cascade reservoirs --- costs and benefits --- sediment flushing efficiency --- vulnerability --- Heihe River Basin --- TB-MPC --- heating impact --- flushing efficiency --- system dynamics --- Indian Monsoon --- shaft spillway pipe --- integrated supply system modeling --- seasonal rainfall --- sediment management --- design and operation of the multipurpose reservoir --- Kappa distribution --- CO2 --- reliability --- uncertainty --- Yangtze River --- Markov chain --- the Yangtze River --- Environmental Fluid Dynamics Code (EFDC) model --- land and water resources --- integrated surface water-groundwater model --- Heilongjiang --- Kurobe River --- flow regime --- numerical simulation --- long distance water diversion --- tropical reservoir --- multi-stage stochastic optimization --- direct policy search --- inverted siphon --- environmental flow --- parameterization --- accompanying progressive optimality algorithm --- integrated management --- hydropower stations --- differential evolution algorithm --- sediment flushing of empty storage --- back propagation neural network --- NSGA-II --- two-dimensional bed evolution model --- real-time control --- upper Chao Phraya River Basin --- CMIP5 --- genetic algorithm --- dam --- irrigation --- CMIP3 --- water energy --- discharge --- the Jingjiang River Reach --- water environmental capacity (WEC) --- climate change --- shortage ratio: Vulnerability --- optimal scheduling --- hydrology --- Siemianówka --- ungauged basin --- game theory --- power function --- SWAT --- Dokan Dam --- natural flow regime --- bitterling --- reservoir flushing --- vertical profiles of concentration --- ratio curve --- partial gauged basin --- sediment load --- adaptive management --- water deficit --- the upper Yangtze River Basin --- Miyun Reservoir --- parameter relation --- stochastic dynamic programming --- NPP --- runoff response --- Narew River --- coupling model --- Langcang-Mekong River --- drinking water resources --- the Huangshi Reservoir --- reverse regulation --- nutrient uptake --- water resources allocation --- multi-agent of river basin --- HEC-ResPRM --- dynamic programming with progressive optimality algorithm (DP-POA) --- reservoir operation --- sea surface temperatures --- reservoir simulation model --- SWAT model --- El Niño/Southern Oscillation --- CORDEX-Africa --- hedging policy --- multi-objective optimization NSGA II --- reservoir --- general regression neural network --- flood control --- Jingjiang River Reach --- catchment modelling
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