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Showing result 1 - 5 of 21 essays matching the above criteria.

  1. 1. Time Series Forecasting on Database Storage

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Pranav Patel; [2024]
    Keywords : Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE

  3. 2. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : 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

  4. 3. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js

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

    Author : Sara Moazez Gharebagh; [2023]
    Keywords : TensorFlow.js; JavaScript; Artificial Neural Networks; Deep Learning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units; TensorFlow.js; JavaScript; Artificiella Neurala Nätverk; Djupinlärning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units;

    Abstract : Deep Learning is a powerful and rapidly advancing technology that has shown promising results within the field of weather forecasting. Implementing and using deep learning models can however be challenging due to their complexity. READ MORE

  5. 4. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

    University essay from Lunds universitet/Matematisk statistik

    Author : Simon Althoff; [2023]
    Keywords : wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

    Abstract : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. READ MORE

  6. 5. Mesoscale precipitation systems in the Tibetan Plateau region as represented by global reanalysis, regional downscaling and satellite data between 2001 - 2016

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : Benjamin Holmberg; [2022-09-01]
    Keywords : Tibetan Plateau; monsoon; westerlies; mesoscale; convection; precipitation; climate modelling; global reanalysis; regional downscaling; spatial resolution; re-initialization; spectral nudging; convective parameterization;

    Abstract : The Tibetan Plateau (TP) is one of the world’s most important water towers. Convective precipitation systems play an important role by providing freshwater for the highly densely populated downstream regions, but they can also cause hazardous floods. READ MORE