Essays about: "Seasonal Forecasting"

Showing result 1 - 5 of 53 essays containing the words Seasonal Forecasting.

  1. 1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Klara Enerud; [2024]
    Keywords : time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

    Abstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE

  3. 2. Seasonal Variability of Ice Nucleating Particles (INP) in Southern Sweden

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Tamina Kabir; [2023-03-08]
    Keywords : ;

    Abstract : Cloud ice crystals are formed by ice-nucleating particles (INPs). The micro-physical properties of clouds, precipitation formation and the life cycle of clouds are strongly influenced by the presence or absence of ice. Therefore knowledge of atmospheric INP concentrations is crucial to improve weather forecasting and climate projections. READ MORE

  4. 3. Forecasting Monthly Swedish Air Traveler Volumes

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Mark Becker; Peter Jarvis; [2023]
    Keywords : Forecasting; SARIMA; Neural network autoregression; Exponential smoothing; the Prophet model; Random Walk; MAE; MAPE; RMSE;

    Abstract : In this paper we conduct an out-of-sample forecasting exercise for monthly Swedish air traveler volumes. The models considered are multiplicative seasonal ARIMA, Neural network autoregression, Exponential smoothing, the Prophet model and a Random Walk as a benchmark model. READ MORE

  5. 4. 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

  6. 5. Inflation Index for the House and Content Portfolio : A Model to Calculate the Future Claim Costs for Trygg-Hansa

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Nadine Eklund; [2023]
    Keywords : Inflation Index; Claim Costs; Time Series Forecasting; Trygg-Hansa;

    Abstract : Trygg-Hansa is a Swedish insurance company that specializes in business insurance, home insurance, vehicle insurance, and personal insurance. This work focuses on Trygg-Hansa’s House and Content portfolio, which insures customers’ homes, both the building itself and its contents. READ MORE