Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This research received no external fundingElectricity price forecasting has been a booming field over the years, with many methods and techniques being applied with different degrees of success. It is of great interest to the industry sector, becoming a must-have tool for risk management. Most methods forecast the electricity price itself; this paper gives a new perspective to the field by trying to forecast the dynamics behind the electricity price: the supply and demand curves originating from the auction. Given the complexity of the data involved which include many block bids/offers per hour, we propose a technique for market curve modeling and forecasting tha...
Electricity is a quite unique commodity. Due to the economically non-storable nature of the commodit...
This paper addresses the importance of electricity price forecasting in the deregulated electricity ...
In this paper we assess the short-term forecasting power of different time series models in the elec...
Electricity price forecasting has been a booming field over the years, with many methods and techniq...
The worldwide electricity industry is in an era where an overwhelming transition towards deregulatio...
Master in Economics: Empirical Applications and Policies. Academic Year 2021-2022.In this Master The...
Electricity generation and load should always be balanced to maintain a tightly regulated system fre...
We use a supply-demand framework to model the hourly day-ahead spot price of electricity based on pu...
In a competitive electricity market environment, power producers and consumers need, on one hand, a...
The new competitive electricity markets make it imperative for companies related to electricity prod...
In the new framework of competitive electricity markets, all power market participants need accurate...
This thesis focuses on the development of a forecasting model for short- to medium-term electricity ...
A number of price forecasting methods are used to forecast wholesale (spot) electricity prices. The ...
With the deregulation of electricity markets, electricity prices exhibit extreme volatilities includ...
This empirical paper compares the accuracy of 12 time series methods for short-term (day-ahead) spot...
Electricity is a quite unique commodity. Due to the economically non-storable nature of the commodit...
This paper addresses the importance of electricity price forecasting in the deregulated electricity ...
In this paper we assess the short-term forecasting power of different time series models in the elec...
Electricity price forecasting has been a booming field over the years, with many methods and techniq...
The worldwide electricity industry is in an era where an overwhelming transition towards deregulatio...
Master in Economics: Empirical Applications and Policies. Academic Year 2021-2022.In this Master The...
Electricity generation and load should always be balanced to maintain a tightly regulated system fre...
We use a supply-demand framework to model the hourly day-ahead spot price of electricity based on pu...
In a competitive electricity market environment, power producers and consumers need, on one hand, a...
The new competitive electricity markets make it imperative for companies related to electricity prod...
In the new framework of competitive electricity markets, all power market participants need accurate...
This thesis focuses on the development of a forecasting model for short- to medium-term electricity ...
A number of price forecasting methods are used to forecast wholesale (spot) electricity prices. The ...
With the deregulation of electricity markets, electricity prices exhibit extreme volatilities includ...
This empirical paper compares the accuracy of 12 time series methods for short-term (day-ahead) spot...
Electricity is a quite unique commodity. Due to the economically non-storable nature of the commodit...
This paper addresses the importance of electricity price forecasting in the deregulated electricity ...
In this paper we assess the short-term forecasting power of different time series models in the elec...