Essays about: "Electricity price forecast"

Showing result 1 - 5 of 26 essays containing the words Electricity price forecast.

1. 1. 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

3. 2. Study on feasibility of small-scale pumped hydro storage- A case study in Sweden

   University essay from Lunds universitet/Institutionen för energivetenskaper

   Author : Prashant Niroula; [2023]
   Keywords : energy storage; pumped hydropower; electricity market; investment; new technologies; feasibility; Technology and Engineering;

   Abstract : The European union has been aggressively pushing forward with policies favoring renewable sources of energy. As a result, the share of intermittent renewables in the European power grid is rising and is expected to grow even more in the coming decade. The Swedish energy agency also forecast huge growth in wind power. READ MORE

4. 3. The influence of short-term forecast errors in energy storage sizing decisions

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

   Author : Adrian Bagger Toräng; Viktor Rönnblom; [2022]
   Keywords : Energy storage system; Pumped hydro energy storage; Electricity price forecast; Forecast error; Sizing; Robust decision making; Energilagringssystem; Pumpkraftverk; Elprisprognos; Prognosfel; Dimensionering; Robust beslutstagande;

   Abstract : Pumped hydro energy storages commonly plan their operations on short-term forecasts of the upcoming electricity prices, meaning that errors in these forecasts would entail suboptimal operations of the energy storage. Despite the high investment costs of pumped hydro energy storages, few studies take a holistic approach to the uncertainties involved in such investment decisions. READ MORE

5. 4. Day-ahead Grid Loss Forecasting : A study of linear and non-linear models when modelling electrical grid losses

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Alicia Söderlind; [2022]
   Keywords : Electrical grid losses; Mathematical modelling; ARIMAX; SARIMAX; Neural Networks;

   Abstract : Accurate day-ahead grid loss forecasts are, among other things, essential to determine the electricity price for the upcoming day. The more accurate forecast, the closer the trading on the 'day-ahead' electricity market can become the actual operation the next day, which dedcrease the need for correcting production on the balancing market. READ MORE

6. 5. Forecasting Electricity Prices for Intraday Markets with Machine Learning : An exploratory comparison of the state of the art

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

   Author : Panagiotis-Christos Kotsias; [2022]
   Keywords : Electricity Trading; Intraday Market; Price Forecasting; Machine Learning; Elhandel; Intradagsmarknad; Prisprognoser; Maskininlärning;

   Abstract : Electricity needs to be consumed when it is produced, making sure that supply closely meets demand at all times. To account for the rapidly changing operational status and the need for increasing the flexibility of power systems, financial instruments have been put in place creating markets where electricity is traded as a commodity across different time frames; from months or days to minutes before, or even after, planned delivery. READ MORE