Essays about: "Energy Variables"
Showing result 1 - 5 of 357 essays containing the words Energy Variables.
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1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : 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). READ MORE
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2. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : 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). READ MORE
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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
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : 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. READ MORE
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4. If Trees Could Talk - Dendrochemistry, a Promising Method for Understanding Pollution History
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : 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. READ MORE
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5. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models
University essay from Göteborgs universitet/Graduate SchoolAbstract : 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. READ MORE
