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Unit Roots and Structural Breaks

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ISBN: 9783038428114 9783038428121 Year: Pages: VI, 162 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics --- Mathematics
Added to DOAB on : 2018-04-13 15:24:38
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This book deals with problems related to unit roots and structural change, and the interplay between the two. The research agenda dealing with these topics have proved to be of importance to devise procedures that are reliable for inference and forecasting. Several important contributions have been made. Still, there is scope for improvements to and analyses of the existing procedures. This book provides contributions that follow up on what has been done and/or offer new perspectives on such issues and related ones.

Forecasting Models of Electricity Prices

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ISBN: 9783038424154 9783038424147 Year: Pages: VIII, 250 DOI: 10.3390/books978-3-03842-414-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Engineering
Added to DOAB on : 2017-06-09 09:21:40
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The new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and the level of uncertainty is higher. Knowing electricity prices beforehand makes it possible for generators to determine their optimal production strategy in order to maximize their profit. Similarly, consumers and retailers can plan their consumption and produce energy bids to maximize their utility. Therefore, price forecasting is instrumental both for producers, retailers and consumers.

Data-driven Methods for Fault Localization in Process Technology

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Book Series: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ISSN: 18636489 ISBN: 9783731500988 Year: Volume: 15 Pages: XVIII, 194 p. DOI: 10.5445/KSP/1000036427 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:02
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Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.

Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

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ISBN: 9783038972921 9783038972938 Year: Pages: 186 DOI: 10.3390/books978-3-03897-293-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- General and Civil Engineering
Added to DOAB on : 2018-10-22 10:01:53
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The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate or more precise energy demand forecasts are required when decisions are made in a competitive environment. Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. These models have resulted in over-reliance on the use of informal judgment and higher expense if lacking the ability to catch the data patterns. The novel applications of kernel methods and hybrid evolutionary algorithms can provide more satisfactory parameters in forecasting models. We aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards the development of HEAs with kernel methods or with other novel methods (e.g., chaotic mapping mechanism, fuzzy theory, and quantum computing mechanism), which, with superior capabilities over the traditional optimization approaches, aim to overcome some embedded drawbacks and then apply these new HEAs to be hybridized with original forecasting models to significantly improve forecasting accuracy.

Applied Econometrics

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ISBN: 9783038979265 / 9783038979272 Year: Pages: 222 DOI: 10.3390/books978-3-03897-927-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-06-26 08:44:06
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Although the theme of the monograph is primarily related to “Applied Econometrics”, there are several theoretical contributions that are associated with empirical examples, or directions in which the novel theoretical ideas might be applied. The monograph is associated with significant and novel contributions in theoretical and applied econometrics; economics; theoretical and applied financial econometrics; quantitative finance; risk; financial modeling; portfolio management; optimal hedging strategies; theoretical and applied statistics; applied time series analysis; forecasting; applied mathematics; energy economics; energy finance; tourism research; tourism finance; agricultural economics; informatics; data mining; bibliometrics; and international rankings of journals and academics.

Keywords

inflation --- postage stamps --- price recovery --- historical time series --- EGARCH --- FHA loan --- home mortgage --- foreclosure --- default and prepayment --- unobserved heterogeneity --- duration models --- competing risks --- earnings forecasts --- earnings announcements --- financial markets --- financial analysts --- nonparametric time series modeling --- nonlinearity --- unified time series algorithm --- exploratory diagnostics --- control environment --- budgetary system and strategies --- operational control --- company performance --- economic growth --- economic freedom --- foreign direct investment --- panel data --- cash payments --- efficiency --- denomination range --- JEL Classification --- E42 --- E58 --- managing of financial health --- risk of bankruptcy --- prediction methods --- post-communist countries --- Misery Index --- inflation --- unemployment --- Probit and Logit models --- Okun’s law --- multivariate regression models --- heavy-tailed data --- Mahalanobis distances --- maximum likelihood estimator --- independent multivariate Student distribution --- uncorrelated multivariate Student distribution --- derivatives market --- economic development --- Granger-causality tests --- vector error correction model (VECM) --- DOLS --- FMOLS --- income inequality --- economic growth --- middle income countries --- Granger causality test --- system GMM --- oil price --- exchange rate --- trade balance --- cointegration --- frequency domain causality --- Nigeria --- Fama-French factor model --- market microstructure --- trading behavior --- panel data factor model --- social network model --- risk spillover --- abnormal returns

Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR tomography

Authors: --- ---
ISBN: 9783039211265 / 9783039211272 Year: Pages: 308 DOI: 10.3390/books978-3-03921-127-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field

Keywords

SBAS-InSAR --- surface subsidence --- Sentinel-1A --- Wuhan --- engineering construction --- carbonate karstification --- water level changes --- reclamation settlements --- Lingang New City --- time series InSAR analysis --- terraSAR-X --- ENVISAT ASAR --- ALOS PALSAR --- time series analysis --- InSAR --- PS --- landslide --- subsidence --- land reclamation --- urbanization --- risk --- Istanbul --- Turkey --- Persistent Scatterer Interferometry (PSI) --- Sentinel-1 --- uplift --- expansive soils --- dewatering --- London --- synthetic aperture radar (SAR) --- SAR tomography --- deformation monitoring --- persistent scatterer interferometry (PSI) --- urban deformation monitoring --- radar interferometry --- displacement mapping --- spaceborne SAR --- differential interferometry --- differential tomography --- ERS-1/-2 --- PALSAR --- PALSAR-2 --- InSAR --- land subsidence --- reclaimed land --- Urayasu City --- SAR interferometry --- displacement monitoring --- Sentinel-1 --- permanent scatterers --- thermal dilation --- health monitoring --- SAR --- Sentinel-1 --- differential SAR interferometry --- atmospheric component --- modelling --- deformation time series --- validation --- multi-look SAR tomography --- multiple PS detection --- Capon estimation --- Generalized Likelihood Ratio Test --- synthetic aperture radar --- persistent scatterers --- differential interferometry --- tomography --- radar detection --- generalized likelihood ratio test --- sparse signals --- pursuit monostatic --- PS-InSAR --- urban monitoring --- skyscrapers --- urban subsidence --- Copernicus Sentinel-1 --- Persistent Scatterer Interferometry --- SNAP-StaMPS --- Rome --- synthetic aperture radar --- tomography --- polarimetry --- radar detection --- generalized likelihood ratio test --- sparse signals --- geological and geomorphological mapping --- Late-Quaternary deposits --- differential compaction --- multi-temporal DInSAR --- Venetian-Friulian Plain --- subsidence monitoring --- persistent scatterer interferometry --- asymmetric subsidence --- groundwater level variation --- Sepulveda Transit Corridor --- Los Angeles --- synthetic aperture radar --- persistent scatterers --- tomography --- differential interferometry --- polarimetry --- radar detection --- urban areas --- deformation

Alternative Assets and Cryptocurrencies

ISBN: 9783038979784 / 9783038979791 Year: Pages: 218 DOI: 10.3390/books978-3-03897-979-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2019-08-28 11:21:27
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Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.

Distributed Energy Resources Management

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ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

Ten Years of TerraSAR-X—Scientific Results

Authors: --- ---
ISBN: 9783038977247 9783038977254 Year: Pages: 422 DOI: 10.3390/books978-3-03897-725-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-04-25 16:37:17
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This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas.

Keywords

synthetic aperture radar --- TerraSAR-X --- geolocation --- absolute localization accuracy --- stereo sar --- imaging geodesy --- TerraSAR-X --- internal calibration --- geometric and radiometric calibration --- antenna model verification --- antenna pointing determination --- radiometric accuracy --- calibration targets --- long term performance monitoring --- TerraSAR-X --- TanDEM-X --- LEO --- POD --- SLR --- SAR --- Satellite Laser Ranging --- radar ranging --- satellite orbit --- validation --- InSAR coherence --- NDVI --- damage assessment --- density map --- tsunami --- earthquake --- GIS --- TSX Staring spotlight --- high resolution InSAR --- small-scale movements --- atmospheric phase --- layover --- DSM blending --- SAR --- internal waves --- Andaman Sea --- radar --- satellite --- remote sensing --- SAR --- TerraSAR-X --- operations --- ground segment --- orbit --- mission --- global --- urban footprint --- processing --- validation --- community survey --- sustainability --- synthetic aperture radar --- X-band --- marine --- estuarine --- lacustrine --- riverine --- palustrine --- time-series --- SAR applications --- vegetation --- remote sensing data --- DInSAR --- landslide monitoring --- PSI --- super high-spatial resolution TerraSAR-X images --- pixel selection --- measurement pixels’ density --- synthetic aperture radar --- PolSAR --- TerraSAR-X --- surface water monitoring --- flooded vegetation --- classification --- segmentation --- InSAR --- landslide --- phase unwrapping --- phase demodulation --- TerraSAR-X --- RADARSAT-2 --- ALOS-1 --- ERS --- synthetic aperture radar --- TerraSAR-X --- habitat mapping --- monitoring --- remote sensing --- Wadden Sea --- mussel beds --- intertidal bedforms --- tidal gullies --- remote sensing --- film slicks on the sea surface --- dual co-polarized microwave radar --- surface wind waves --- wave breaking --- Snow Cover Extent (SCE) --- TerraSAR-X --- Landsat --- wet snow --- small Arctic catchments --- satellite time series --- TerraSAR-X --- synthetic aperture radar (SAR), radar mission --- remote sensing --- land subsidence --- TerraSAR-X --- SAR interferometry --- coastal environments --- Venice lagoon --- multi-baseline --- multi-pass --- PS --- DS --- geodetic --- TomoSAR --- D-TomoSAR --- PSI --- robust estimation --- covariance matrix --- InSAR --- SAR --- review --- SAR --- SAR interferometry --- atmospheric propagation delay --- persistent scatterer interferometry --- numerical weather prediction --- stratified atmospheric delay --- zenith path delay --- slant path delay --- interferometry --- surface movement monitoring --- ground control points --- radargrammetry --- automated target recognition --- convolutional neural networks (CNN), deep CNN --- support vector machine --- SVM --- synthetic aperture radar --- TerraSAR-X --- SAR interferometry --- land subsidence --- precise orbit determination --- geometric and radiometric calibration --- PSI

Google Earth Engine Applications

Authors: ---
ISBN: 9783038978848 9783038978855 Year: Pages: 420 DOI: 10.3390/books978-3-03897-885-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2019-04-25 16:37:17
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In a rapidly changing world, there is an ever-increasing need to monitor the Earth&rsquo;s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth&rsquo;s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Keywords

Google Earth Engine --- NDVI --- vegetation index --- Landsat --- remote sensing --- phenology --- surface reflectance --- cropland mapping --- cropland areas --- 30-m --- Landsat-8 --- Sentinel-2 --- Random Forest --- Support Vector Machines --- segmentation --- RHSeg --- Google Earth Engine --- Africa --- remote sensing --- semi-arid --- ecosystem assessment --- land use change --- image classification --- seasonal vegetation --- carbon cycle --- Google Earth Engine --- crop yield --- gross primary productivity (GPP) --- data fusion --- Landsat --- MODIS --- MODIS --- Random Forest --- pasture mapping --- Brazilian pasturelands dynamics --- Google Earth Engine --- crop classification --- multi-classifier --- cloud computing --- time series --- high spatial resolution --- BACI --- Enhanced Vegetation Index --- Google Earth Engine --- cloud-based geo-processing --- satellite-derived bathymetry --- image composition --- pseudo-invariant features --- sun glint correction --- empirical --- spatial error --- Google Earth Engine --- low cost in situ --- Sentinel-2 --- Mediterranean --- burn severity --- change detection --- Landsat --- dNBR --- RdNBR --- RBR --- composite burn index (CBI) --- MTBS --- lower mekong basin --- landsat collection --- suspended sediment concentration --- online application --- google earth engine --- Landsat --- Google Earth Engine --- protected area --- forest and land use mapping --- machine learning classification --- China --- temporal compositing --- image time series --- multitemporal analysis --- change detection --- cloud masking --- Landsat-8 --- Google Earth Engine (GEE) --- Google Earth Engine --- LAI --- FVC --- FAPAR --- CWC --- plant traits --- random forests --- PROSAIL --- small-scale mining --- industrial mining --- google engine --- image classification --- land-use cover change --- seagrass --- habitat mapping --- image composition --- machine learning --- support vector machines --- Google Earth Engine --- Sentinel-2 --- Aegean --- Ionian --- global scale --- soil moisture --- Soil Moisture Ocean Salinity --- Soil Moisture Active Passive --- Google Earth Engine --- drought --- cloud computing --- remote sensing --- snow hydrology --- water resources --- Google Earth Engine --- user assessment --- MODIS --- snow cover --- flood --- disaster prevention --- emergency response --- decision making --- Google Earth Engine --- land cover --- deforestation --- Brazilian Amazon --- Bayesian statistics --- BULC-U --- Mato Grosso --- spatial resolution --- Landsat --- GlobCover --- SDG --- surface urban heat island --- Geo Big Data --- Google Earth Engine --- global monitoring service --- Google Earth Engine --- web portal --- satellite imagery --- trends --- earth observation --- wetland --- Google Earth Engine --- Sentinel-1 --- Sentinel-2 --- random forest --- cloud computing --- geo-big data --- cloud computing --- big data analytics --- long term monitoring --- data archival --- early warning systems

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