Essays about: "price settings"
Showing result 1 - 5 of 39 essays containing the words price settings.
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1. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. READ MORE
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2. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE
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3. Assessing the affordability of biophilic designed apartments
University essay from Högskolan i Gävle/Avdelningen för byggnadsteknik, energisystem och miljövetenskapAbstract : Over the last two decades, biophilic design and green architecture have been gaining moremomentum throughout the world, to combat climate change and promote sustainability.Biophilic design states that humans have an innate connection with nature, and thatconnection invokes human well-being, productivity, coexistence with nature, andbiodiversity. READ MORE
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4. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting
University essay from KTH/Matematik (Avd.)Abstract : In this paper, a study is conducted to investigate the use of Curriculum Learning as an approach to address accuracy issues in a neural network caused by training on a Long-Tailed dataset. The thesis problem is presented by a Swedish e-commerce company. READ MORE
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5. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. READ MORE