Energy Management of Prosumer Communities
| Energy Management of Prosumer Communities |
| Autore | Sierla Seppo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (122 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
artificial intelligence
battery chronology community of prosumers consensus + innovations deep well heat pump demand response distributed energy resources district heat economic dispatch electricity market electricity price forecasting flexible loads shifting scenarios frequency containment reserve frequency reserve hierarchical agglomerative clustering load factor new consumption peak particle swarm optimization peer-to-peer power-to-heat prosumers real-time real-time pricing reinforcement learning renewable energy residential users sector coupling shared PV plant simulation storage batteries thermal storage timescale two-capacity building model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557349903321 |
Sierla Seppo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910461571103321 |
Eshel Gidon <1958->
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| Princeton : , : Princeton University Press, , [2012] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910789871903321 |
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910823944403321 |
Eshel Gidon <1958->
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| Princeton : , : Princeton University Press, , [2012] | ||
| Lo trovi qui: Univ. Federico II | ||
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Tracer and Timescale Methods for Passive and Reactive Transport in Fluid Flows
| Tracer and Timescale Methods for Passive and Reactive Transport in Fluid Flows |
| Autore | Deleersnijder Eric |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (364 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
ADCP measurement
age age distribution function antimony 125 (125Sb) biogeochemical Biscay Bay boundary conditions CART coastal coupled wave-ocean models data collection Delft3D density current diagnostic timescales dispersion ecological English Channel estuary exposure time floating structures floodplain flushing time geophysical and environmental fluid flows hydrodynamic hydrodynamic model hydrogeological tracer test interpretation methods kinetics Lagrangian transport modelling macro-tidal Mahakam Delta marina meteorological influence model skills modeling n/a North Sea numerical modeling ocean drifters partial differential equations partitioning passive tracers Pearl River Estuary radionuclide reactive tracers reactive transport residence time return coefficient return-flow Reynolds stress Sacramento-San Joaquin Delta San Francisco Estuary shallow lake shallow reservoir source water fingerprinting stable isotopes sub-basins tailor-made tracer design terrestrial dissolved substances Three Gorges Reservoir tidal hydrodynamics timescale tracer transport transport process transport time scales transport timescales tributary bay tritium (3H) turbulence water age water level regulation water renewal wave bias wave-induced processes wind influence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873603321 |
Deleersnijder Eric
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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