Sökning: "Energy Variables"

Visar resultat 1 - 5 av 432 uppsatser innehållade orden Energy Variables.

1. 1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Klara Enerud; [2024]
   Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

   Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

3. 2. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Alireza Momtaz; Mohammad Befkin; [2024]
   Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

4. 3. Power Play: The influence of energy prices on ESG Stocks’ performance during the Energy Crisis A quantitative study performed on the Swedish stock market

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Daniella Milojkovic; Jennifer Häggander; [2023-08-25]
   Nyckelord :;

   Sammanfattning : This research paper is focused on the impact of the European energy crisis on ESG (Environmental, Social, and Governance) stocks. The paper aims to examine the extent to which the performance of stocks with high ESG scores has been affected by energy prices and volatility during the energy crisis. LÄS MER

5. 4. If Trees Could Talk - Dendrochemistry, a Promising Method for Understanding Pollution History

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Jonatan Uusitalo; [2023-08-17]
   Nyckelord :;

   Sammanfattning : Heavy metal pollution presents a significant environmental challenge in the Anthropocene era, and understanding pollution history is crucial to address historical pollution and implementing effective mitigation measures. This study stands among a few comprehensive dendrochemical investigations that utilized an extensive dataset and energy dispersive X-ray fluorescence (EDXRF) technique to reconstruct the contamination history of As, Cd, Cu, Ni, Pb, and Zn, with a focus on Cu. LÄS MER

7. 5. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Gustav Veres; Philip Ahlfridh; [2023-06-29]
   Nyckelord :;

   Sammanfattning : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. LÄS MER