Application of a data-driven DTSF and benchmark models for the prediction of electricity prices in Brazil: A time-series case

TS Gontijo, RB Santis, MA Costa - Journal of Renewable and …, 2023 - pubs.aip.org
The global energy market has significantly developed in recent years; proof of this is the
creation and promotion of smart grids and technical advances in energy commercialization …

Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment

CAL Nametala, WR Faria, GG Lage, BR Pereira Jr - Utilities Policy, 2023 - Elsevier
Brazil's electricity market is the largest in Latin America and the ninth largest in the world. It
has been implemented as a mixed market in which regulated and deregulated contracting …

A Hybrid Model Based on CEEMDAN-GRU and Error Compensation for Predicting Sunspot Numbers

J Yang, S Liu, S Xuan, H Chen - Electronics, 2024 - mdpi.com
To improve the predictive accuracy of sunspot numbers, a hybrid model was built to forecast
future sunspot numbers. In this paper, we present a prediction model based on complete …

Dynamic time scan forecasting: A benchmark with m4 competition data

RB De Santis, TS Gontijo… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Univariate forecasting methods are fundamental for many different application areas. M-
competitions provide important benchmarks for scientists, researchers, statisticians, and …

Modelos de aprendizado de máquina aplicados à manutenção preditiva de pequenas centrais geradoras hidrelétricas

RB De Santis - 2023 - repositorio.ufmg.br
RESUMO A manutenção de pequenas centrais hidrelétricas é um tópico essencial para
garantir a expansão de fontes de energias limpas e o fornecimento de energia necessária …

Essays on electricity price forecasting

TS Gontijo - 2023 - repositorio.ufmg.br
Desenvolver modelos preditivos é uma tarefa complexa, pois envolve a incerteza eo
comportamento estocástico de variáveis. Especificamente no que diz respeito às …

[PDF][PDF] STATISTICAL AND ARTIFICIAL INTELLIGENCE-BASED APPROACHES TO ELECTRICITY PRICE FORECASTING: A REVIEW

SV Jerić - 2nd International Conference on the Economics of … - bib.irb.hr
114 ideas of possible methods which have not even been used so far but have a potential
for possibly good performance. This way, usage of such techniques is promoted with a …