Essays about: "electricity price forecasting"

Showing result 1 - 5 of 35 essays containing the words electricity price forecasting.

  1. 1. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Alireza Momtaz; Mohammad Befkin; [2024]
    Keywords : Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Abstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE

  3. 2. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models

    University essay from Göteborgs universitet/Graduate School

    Author : Gustav Veres; Philip Ahlfridh; [2023-06-29]
    Keywords : ;

    Abstract : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. READ MORE

  4. 3. Decision support in a volatile electricity market: forecasting and cost optimization

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Oscar Andreas Olsson; [2023]
    Keywords : Technology and Engineering;

    Abstract : Given the increase in electricity prices in recent years due to two reasons; the rebound effect after the initial corona outbreak and the Russian invasion of Ukraine, the burden of paying the rising monthly expense for electricity has become an unwelcome reality for a significant part of society. The electricity trades on the open market called Nord Pool for the Nordic countries, among others, where buyers and sellers come together to find a market price for electricity each day. READ MORE

  5. 4. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

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

    Author : Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
    Keywords : Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

    Abstract : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. READ MORE

  6. 5. Charging Towards Savings : How Utility Tariffs and Consumtion Profiles Impact the Profitability of BTM Battery Storage Systems

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Daniel Aston; Gustav Lindström; [2023]
    Keywords : Battery Energy Storage System BESS ; Behind The Meter BTM ; Demand Side Management; Energy Arbitrage; Peak Shaving; Load Profile; Utility Tariff; Batterilagring; Bakom Mätaren; Efterfrågestyrning; Energiarbitrage; Peak Shaving; Konsumtionsprofil; Tariff;

    Abstract : Battery Storage Systems (BESS) installed Behind the Meter (BTM) can provide demand management services, reducing electricity costs and enhancing overall electricity system stability. BTM BESS can also imporve self-consumption obtained with distributed generation assets like solar photovoltaics. READ MORE