Essays about: "Seasonality analysis"

Showing result 1 - 5 of 57 essays containing the words Seasonality analysis.

  1. 1. How important are water sources to pastoralist movement in times of climate change? : A modelling approach.

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : Max Louis Mischke; [2023]
    Keywords : Precipitation; Predictive Modelling; Mobility; Camp selection; Protected Area; Mongolia;

    Abstract : Livestock grazing is an important part for the livelihood of a large part of the world’s population. While in some areas of the world water accessibility is often taken for granted, in arid regions this can be a limited resource. READ MORE

  3. 2. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?

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

    Author : Lina Shrebati; [2023]
    Keywords : Time Series; Forecasting; COVID-19; Data processing; Optimal transport; Tidsserier; Prognoser; COVID-19; Databehandling; Optimal transport;

    Abstract : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. READ MORE

  4. 3. Development of an Improved Demand Planning Process - A Case Study at KåKå

    University essay from Lunds universitet/Teknisk logistik

    Author : Emma Hall; Clara Kronberg; [2023]
    Keywords : Sales Operations Planning; Demand Planning; Forecasting; Product Categorization; Non-manufacturing; Bakery Industry; Technology and Engineering;

    Abstract : Background: Operations planning and control has undergone an extensive shift from an individual company focus to a complete supply chain focus which has required a new common approach for supply chain planning and control to evolve. Increasing competition and globalization has created complexity in supply chain planning and integration since it requires a new cross-functional approach. READ MORE

  5. 4. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

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

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE

  6. 5. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

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

    Author : Isabella Mustén Ross; [2023]
    Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE