Sökning: "electricity prices forecasting"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden electricity prices forecasting.

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

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Oscar Andreas Olsson; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : 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. LÄS MER

3. 2. Algorithmic Approaches to Output Prediction in a Virtual Power Plant

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Johannes Rosing; Oscar Ekhed; [2023]
   Nyckelord :Autoregressive Models; Deep Learning; Machine Learning; Power Output; Random Forest Regression; Strategic Recommendations; Support Vector Regression; Virtual Power Plant;

   Sammanfattning : Virtual Power Plants (VPPs) are an emerging form of technology that allows owners of electricity producing appliances, such as electric vehicles, to partake in a pool of producers of sustainable energy. The Swedish electricity grid owner Svenska Kraftnät hosts a platform where VPPs act as intermediaries between energy producing customers and third party buyers. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
   Nyckelord :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.;

   Sammanfattning : 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. LÄS MER

5. 4. Utveckling av driftstöd för planering av fjärrkyla : En explorativ studie om utvecklingen av ett optimeringsbaserat driftplaneringsverktyg för fjärrkylanätet City i Linköping, Sverige

   Master-uppsats, Linköpings universitet/Energisystem

   Författare :Christian Haapanen; Louise Hedenskog; [2023]
   Nyckelord :District cooling; MILP; UC problem; Optimization; Operational plan; Smart energy systems; Fjärrkyla; MILP; UC problem; Optimering; Driftplanering; Smarta energisystem;

   Sammanfattning : The average global temperature is rising due to climate change. This leads to an increase in cooling demand along with higher usage of electricity to operate cooling processes. One way to decrease the electricity usage is to introduce absorption cooling which uses heat instead of electricity as its main source of power. LÄS MER

7. 5. Utvärdering av lastprognoser : En undersökning om lastprognoserna skapade till flexibilitetsmarknaden CoordiNet i Uppsala

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Elektricitetslära

   Författare :Emma Wiss; [2023]
   Nyckelord :Lastprognoser; Flexibilitetsmarknader; Kapacitetsbrist; Uppsala; Felkällor;

   Sammanfattning : The aim of the thesis was to evaluate the load forecasts used in the flexibility market CoordiNet, more specific the load forecasted used for Uppsala during the winters 2020-2021 and 2021-2022. The load forecasts are based on machine learning and to answer the aim of the thesis the following three research questions have been studied: what factors affect the load forecasting errors, which factors are important to increase the reliability of the load forecasts and how can Vattenfall Eldistribution evaluate load forecasts in the future. LÄS MER