Essays about: "Predictive energy management"
Showing result 1 - 5 of 28 essays containing the words Predictive energy management.
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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 CO2 Emissions in Sweden with a Bayesian Neural Network
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. READ MORE
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3. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE
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4. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. READ MORE
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5. Predictive control of fuel cell hybrid construction machines
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sedan industriella revolutionen har hastigheten av global uppvärmning och föroreningar i miljön ökat betydligt. Företag i fordonsindustrin arbetar aktivt för att göra sina produkter mer hållbara genom att bland annat minska utsläppen, minimera användningen av icke-förnybara resurser samt att återvinna. READ MORE