Forecasting electricity price in different time horizons: an application to the Italian electricity market
Electricity price is a crucial element for market players to maximize their profits. In this
context, the forecast of the hour-ahead, day-ahead, and week-ahead electricity prices plays …
context, the forecast of the hour-ahead, day-ahead, and week-ahead electricity prices plays …
[HTML][HTML] The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price
The deregulation of electricity market has led to the development of the short-term electricity
market. The power generators and consumers can sell and purchase the electricity in the …
market. The power generators and consumers can sell and purchase the electricity in the …
An intra-day electricity price forecasting based on a probabilistic transformer neural network architecture
This paper describes the development of a deep neural network architecture based on
transformer encoder blocks and Time2Vec layers for the prediction of electricity prices …
transformer encoder blocks and Time2Vec layers for the prediction of electricity prices …
Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms
V Laitsos, G Vontzos, D Bargiotas, A Daskalopulu… - Energies, 2024 - mdpi.com
The electricity market is constantly evolving, being driven by factors such as market
liberalization, the increasing use of renewable energy sources (RESs), and various …
liberalization, the increasing use of renewable energy sources (RESs), and various …
[HTML][HTML] Empirical Analysis of Inter-Zonal Congestion in the Italian Electricity Market Using Multinomial Logistic Regression
M Hosseini Imani - Energies, 2024 - mdpi.com
The increasing integration of renewable energy sources (RESs) into the Italian electricity
market has heightened inter-zonal congestion challenges as power flows vary across …
market has heightened inter-zonal congestion challenges as power flows vary across …
Electricity price fundamentals in hydrothermal power generation markets using machine learning and quantile regression analysis
A Oviedo-Gómez… - … Journal of Energy …, 2021 - econjournals.com.tr
A hydrothermal power generation market is characterized by a strong dependence on water
reservoir capacity and fossil fuel sources, which causes differences in generation marginal …
reservoir capacity and fossil fuel sources, which causes differences in generation marginal …
Bitcoin Price Forecasting Through Crypto Market Variables: Quantile Regression and Machine Learning Approaches
A Oviedo-Gómez, JM Candelo-Viáfara… - Handbook on Decision …, 2022 - Springer
The cryptocurrency market is an innovative alternative to the traditional currency markets
that has increased the interest of investors, academics, and governments. In the last years …
that has increased the interest of investors, academics, and governments. In the last years …
Impact of Wind and Solar Generation on the Italian Zonal Electricity Price
This paper assesses the impact of increasing wind and solar power generation on zonal
market prices in the Italian electricity market from 2015 to 2019, employing a multivariate …
market prices in the Italian electricity market from 2015 to 2019, employing a multivariate …