Sökning: "Temperature Anomaly"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Temperature Anomaly.

  1. 1. Feeling the Heat of Climate Change - How Sensitive Could It Be? 

    Kandidat-uppsats,

    Författare :Gustav Kollberg; John Skantze; [2020-06-29]
    Nyckelord :Climate Sensitivity; Predictability of Stock Returns; Temperature Anomaly; Fama French Three-Factor Model; Carhart Four-Factor Model;

    Sammanfattning : This thesis examines if climate sensitivity predicts stock returns and how well this measurement performs. The sample consists of the S&P 500 and the monthly stock return for the period between 1979 to 2019. The method is first to estimate the climate sensitivity for stock returns from temperature anomaly. LÄS MER

  2. 2. Implementation of Anomaly Detection on a Time-series Temperature Data set

    Kandidat-uppsats, Malmö universitet/Teknik och samhälle

    Författare :Jelena Novacic; Kablai Tokhi; [2019]
    Nyckelord :machine learning; anomaly detection; linear regression; exponentially weighted moving average; EWMA; probabilistic exponentially weighted moving average; PEWMA; time-series data set;

    Sammanfattning : Aldrig har det varit lika aktuellt med hållbar teknologi som idag. Behovet av bättre miljöpåverkan inom alla områden har snabbt ökat och energikonsumtionen är ett av dem. En enkel lösning för automatisk kontroll av energikonsumtionen i smarta hem är genom mjukvara. LÄS MER

  3. 3. Anomaly detection based on multiple streaming sensor data

    Master-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Min Menglei; [2019]
    Nyckelord :Anomaly detection; streaming sensor data; state transition detection; state classification; correlation analysis; Python.;

    Sammanfattning : Today, the Internet of Things is widely used in various fields, such as factories, public facilities, and even homes. The use of the Internet of Things involves a large number of sensor devices that collect various types of data in real time, such as machine voltage, current, and temperature. LÄS MER

  4. 4. Paleoclimate reconstructionfrom climate proxiesby neural methods

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Marie Déchelle-Marquet; [2019]
    Nyckelord :sparse reconstruction; GCM; self-organizing maps; recurrent neural networks; climate natural variability;

    Sammanfattning : In the present work, we investigate the capacity of machine learning to reconstruct simulated large scale surface temperature anomalies given a sparse observation field. Several methods are combined: self-organizing maps and recurrent neural networks of the temporal trajectory. LÄS MER

  5. 5. Estimating wildfire-attributed boreal forest burn in Central and Eastern Siberia during summer of 2016

    Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Martynas Cerniauskas; [2017]
    Nyckelord :climate change; burned area; taiga; Siberia; boreal forest; physical geography; wildfire; MODIS; remote sensing; carbon cycle; Earth and Environmental Sciences;

    Sammanfattning : Changing climate affects various ecosystem processes within the boreal forest, wildfire among them. Meanwhile temperature is commonly accepted as one of the most important regulating factors. LÄS MER