Essays about: "Weather Variables"
Showing result 1 - 5 of 112 essays containing the words Weather Variables.
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1. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach
University essay from Lunds universitet/Statistiska institutionenAbstract : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. READ MORE
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2. 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
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3. The effect of autocorrelation when performing theapproximated permutation test
University essay from Uppsala universitet/Statistiska institutionenAbstract : In meteorology, permutation tests are a commonly recommended tool because standard paramet-ric methods of inference often is insufficient when analysing weather. Therefore other methodswith less stringent assumptions like permutation testing is used. READ MORE
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4. LFA support in a changing climate : the interaction between the LFA support and drought periods on the use of agricultural land in Sweden
University essay from SLU/Dept. of EconomicsAbstract : With climate change follows an expectation of more extreme weather events, such as droughts, floods and change in seasonal shifts. How climate variability might impact Swedish agriculture and interact with existing policy aiming at keeping agricultural land in production is not well understood. READ MORE
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5. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
