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Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. Because of these developments, interest in dynamic programming and Bayesian inference and their applications has greatly increased at all mathematical levels. The purpose of this book is to provide some applications of Bayesian optimization and dynamic programming.

Dynamic programming. --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- Probability & statistics

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The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.

multi-clearance --- neural network --- zero average dynamics --- Cable3D --- variable bus voltage MG --- explosion-magnetic generator --- quadratic boost --- matrix norm --- coordinated control system --- permanent magnet synchronous motor (PMSM) --- photovoltaic (PV) --- power conversion --- capacitance current pulse train control --- air gap eccentricity --- high step-up voltage gain --- voltage ripple --- offset-free --- goal representation heuristic dynamic programming (GrHDP) --- current mode control --- sliding mode observer (SMO) --- multi-model predictive control --- combined heat and power unit --- discontinuous conduction mode (DCM) --- current-pulse formation --- sliding mode control --- single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) --- subharmonic oscillations --- DC micro grid --- supply air temperature --- air-handling unit (AHU) --- vibration characteristics --- magnetic saturation --- slope compensation --- fixed-point inducting control --- the load of suspension point in the z direction --- variable switching frequency DC-DC converters --- droop control --- Helmholtz number --- plasma accelerator --- contraction analysis --- sliding control --- bifurcations in control parameter --- disturbance observer --- DC motor --- multiphysics --- virtual impedance --- pulverizing system --- ultrahigh voltage conversion ratio --- corrugated pipe --- DC-DC converters --- maximum power point tracking (MPPT) --- dynamic model --- nonlinear dynamics --- new step-up converter --- micro-grid --- global stability --- extended back electromotive force (EEMF) --- small-signal model --- electromagnetic vibration --- nonlinear dynamic model --- excited modes --- data-driven --- rigid body rotation --- position sensorless --- prediction --- centralized vs. decentralized control --- inferential control --- boost-flyback converter --- calculation method --- switched reluctance generator --- monodromy matrix --- bridgeless converter --- decoupling control --- distributed architecture --- wave --- buck converter --- soft sensor --- model–plant mismatches --- whistling noise --- efficiency optimization --- steel catenary riser --- moving horizon estimation --- single artificial neuron (SAN) --- space mechanism --- two-stage bypass --- electrical machine --- harmonic suppression --- local vs. global optimization --- performance recovery --- reinforcement learning (RL) --- adaptive dynamic programming (ADP) --- overvoltage --- planetary gears --- maximum power point tracking --- DC-DC buck converter --- power quality --- average-current mode control --- feedback coefficient --- power factor correction (PFC) --- capacitance current --- predictive control --- rotor dynamics

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With the availability of new and more comprehensive financial market data, making headlines of massive public interest due to recent periods of extreme volatility and crashes, the field of computational finance is evolving ever faster thanks to significant advances made theoretically, and to the massive increase in accessible computational resources. This volume includes a wide variety of theoretical and empirical contributions that address a range of issues and topics related to computational finance. It collects contributions on the use of new and innovative techniques for modeling financial asset returns and volatility, on the use of novel computational methods for pricing, hedging, the risk management of financial instruments, and on the use of new high-dimensional or high-frequency data in multivariate applications in today’s complex world. The papers develop new multivariate models for financial returns and novel techniques for pricing derivatives in such flexible models, examine how pricing and hedging techniques can be used to assess the challenges faced by insurance companies, pension plan participants, and market participants in general, by changing the regulatory requirements. Additionally, they consider the issues related to high-frequency trading and statistical arbitrage in particular, and explore the use of such data to asses risk and volatility in financial markets.

insurance --- Solvency II --- risk-neutral models --- computational finance --- asset pricing models --- overnight price gaps --- financial econometrics --- mean-reversion --- statistical arbitrage --- high-frequency data --- jump-diffusion model --- instantaneous volatility --- directional-change --- seasonality --- forex --- bitcoin --- S&amp --- P500 --- risk management --- drawdown --- safe assets --- securitisation --- dealer behaviour --- liquidity --- bid–ask spread --- least-squares Monte Carlo --- put-call symmetry --- regression --- simulation --- algorithmic trading --- market quality --- defined contribution plan --- probability of shortfall --- quadratic shortfall --- dynamic asset allocation --- resampled backtests --- stochastic covariance --- 4/2 model --- option pricing --- risk measures --- American options --- exercise boundary --- Monte Carlo --- multiple exercise options --- dynamic programming --- stochastic optimal control --- asset pricing --- calibration --- derivatives --- hedging --- multivariate models --- volatility

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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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This book focuses on the analysis, design and implementation of future smart grid systems. This book contains eleven chapters, which were originally published after rigorous peer-review as a Special Issue in the International Journal of Energies (Basel). The chapters cover a range of work from authors across the globe and present both the state-of-the-art and emerging paradigms across a range of topics including sustainability planning, regulations and policy, estimation and situational awareness, energy forecasting, control and optimization and decentralisation. This book will be of interest to researchers, practitioners and scholars working in areas related to future smart grid systems.

industry 4.0 --- digitalization --- demand response --- HVAC control --- dynamic programming --- nonlinear optimization --- energy storage --- regulatory barriers --- storage policy --- market regulations --- SWOT analysis --- deep neural networks --- short-term load forecasting --- renewable energy --- sustainability --- island communities --- demand flexibility --- energy management --- optimization --- hydrogen economy --- cost analysis --- life cycle costing --- methane reforming --- water electrolysis --- centralised hydrogen production --- smart grids (intelligent networks) --- phasor machine learning --- binary logistic regression --- wireless network --- Sensors --- decentralized --- community energy management --- lithium-ion battery --- capacity prediction --- state of health estimation --- time–frequency image analysis --- continuous wavelet transform (CWT) --- two-stage optimization --- risk-based hybrid demand response --- uncertainties --- conditional value at risk --- improved multi-layer artificial bee colony algorithm --- interconnected power system --- cybersecurity --- FPID controller --- automatic intrusion mitigation unit --- Virtual Oscillator Control --- parameter tuning --- voltage-mode inverter --- microgrid