Essays about: "combining forecasts"

Showing result 1 - 5 of 15 essays containing the words combining forecasts.

  1. 1. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Gowtham Kumar Sandaka; Praveen Kumar Madhamsetty; [2023]
    Keywords : Traffic accidents; Satellite imagery; Logistic Regression; Random Forest; SVC; VGG19; hybrid model; CNN; self-driving cars; best-performing algorithm; literature review;

    Abstract : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. READ MORE

  3. 2. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak

    University essay from Lunds universitet/Teknisk logistik

    Author : Faruk Kodzaga; Giacomo Daniele; [2022]
    Keywords : Forecasting Model; OEM; Opportunity Pipeline; Forecasting Accuracy; Technology and Engineering;

    Abstract : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. READ MORE

  4. 3. On Robust Forecast Combinations With Applications to Automated Forecasting

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Arvid Nybrant; [2021]
    Keywords : Forecast Combinations; Model Uncertainty; Predictive Failure; Forecast Risk;

    Abstract : Combining forecasts have been proven as one of the most successful methods to improve predictive performance. However, while there often is a focus on theoretically optimal methods, this is an ill-posed issue in practice where the problem of robustness is of more empirical relevance. READ MORE

  5. 4. Capacity forecasting for wind farms and connected power transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Maximilian Hartmann; [2021]
    Keywords : Wind power; Forecasting; Dynamic Transformer Rating; Machine Learning; Vindkraft; prognostisering; dynamic transformer rating; machine learning;

    Abstract : Transformers can be described as ’slumbering giants’ in the electric power system. This marks transformers to be big and expensive parts of equipment. Calling them slumbering refers to the unused capacity in many of them. READ MORE

  6. 5. Modeling the Relation Between Implied and Realized Volatility

    University essay from KTH/Matematisk statistik

    Author : Tobias Brodd; [2020]
    Keywords : Volatility; implied volatility; realized volatility; machine learning; applied mathematics; financial mathematics; neural networks; ann; lstm; ar; har; ornstein uhlenbeck; Volatilitet; implicit volatilitet; realiserad volatilitet; maskininlärning; tillämpad matematik; finansiell matematik; neurala nätverk; ann; lstm; ar; har; ornstein uhlenbeck;

    Abstract : Options are an important part in today's financial market. It's therefore of high importance to be able to understand when options are overvalued and undervalued to get a lead on the market. READ MORE