Sökning: "Times-series analysis"

Hittade 3 avhandlingar innehållade orden Times-series analysis.

  1. 1. Vegetation Observation in the Big Data Era : Sentinel-2 data for mapping the seasonality of land vegetation

    Författare :Zhanzhang Cai; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Sentinel-2; Times-series analysis; Phenology; GPP;

    Sammanfattning : Using satellite remote sensing data for observing vegetation seasonality is an important approach to estimate phenology and carbon uptake of land vegetation. The successful launch of Sentinel-2B in 2017 initiated full operation of the Sentinel-2 twin satellites, and they now provide 10 - 60 m spatial resolution satellite data at 5 days temporal resolution worldwide, releasing approximately 3. LÄS MER

  3. 2. Power quality analysis and techno-economic modeling for microgrids

    Författare :Jakob Nömm; Sarah Rönnberg; Math Bollen; Josep Guerrero; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Power Quality; Economy; Microgrids; Electric Power Engineering; Elkraftteknik;

    Sammanfattning : The work done in this thesis considers microgrids from two different aspects. Power quality and techno-economics of microgrids. Detailed power quality measurements have been made at a single house hydrogen-solar microgrid that consists of state-of-the-art energy efficiency technology, energy production and energy storage. LÄS MER

  4. 3. Variational Inference of Dynamic Factor Models

    Författare :Erik Spånberg; Pär Stockhammar; Gebrenegus Ghilagaber; Sune Karlsson; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; dynamic factor models; variational inference; missing data; nowcasting; expectation maximization; statistik; Statistics;

    Sammanfattning : When we make difficult and crucial decisions, forecasts are powerful and important tools. For that purpose, statistical models can be our most effective aid. Ideally, these models can incorporate large sets of multifaceted data. LÄS MER