Performance comparison of simple regression, random forest and XGBoost algorithms for forecasting electricity demand

MM Gökçe, E Duman - 2022 3rd International Informatics and …, 2022 - ieeexplore.ieee.org
Electrical energy is the locomotive of the economy, industry, and development in terms of the
development of countries. In order to meet the need during the periods when the energy …

Optimizing Power Plant Operations Through Machine Learning Based Electricity Demand Forecasting

C De Silva, V Jayawardana… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Balancing the supply and demand of power has become one of the greatest challenges with
the rapid growth of population and industrial and commercial development. This study …

[PDF][PDF] Reinforcement Learning of a Multi Agent System for the Forecasting of Electricity Consumption

DC do Vale Ramos - 2021 - repositorio-aberto.up.pt
The management activities of buildings have been readapting strategies over the years to
be more efficient on the use and supply of electricity power. The uncertainties presented in …

Wind Power Prediction Using Machine Learning and Deep Learning Algorithms

E Şimşek, A Güngör, Ö Karavelioğlu… - 2023 31st Signal …, 2023 - ieeexplore.ieee.org
In this study, it has been tried to predict the wind power generation values in a long-term
period by using a dataset containing the wind power generation values of 10 zones using …

Transmission Corridor Stability Margin Prediction Applying Data Mining Criteria and Machine Learning Algorithms

L Chiza, J Cepeda - Revista Técnica energía, 2021 - scielo.senescyt.gob.ec
Resumen CHIZA, Luis y CEPEDA, Jaime. Transmission Corridor Stability Margin Prediction
Applying Data Mining Criteria and Machine Learning Algorithms. Revista Técnica energía …

Comparison of Recurrent Neural Network Model for Future Electric Power Prediction

S Balasubramaniyan, P Duraipandy… - … Conference on I …, 2022 - ieeexplore.ieee.org
The increasing demand for electricity can be directly attributed to the exponential rise in both
the global population and the sophistication of modern technologies. Because electric …

[PDF][PDF] DEEP LEARNING METHODS FOR THE ACCURATE MODELING AND FORECASTING OF THE INDIAN STOCK MARKET.

GJ Saqware, B Ismail - ICTACT Journal on Soft Computing, 2022 - ictactjournals.in
The stock markets are among the most volatile market worldwide. The future of these
markets is daily affected by political instability and different enacted economic and …

Applications of Artificial Intelligence in Short-Term and Long-Term Forecasting Techniques

S Ayvaz - Applications of Artificial Intelligence in Planning and …, 2022 - Springer
Electrical energy, due to immediate consumption requirements, is a type of energy that
needs to be planned, produced, and transmitted in a quick and efficient way. Short-term and …

Assessing Machine Learning Models for Power Plant Generation Prediction

C De Silva, V Jayawardana… - … Research Journal of …, 2023 - search.proquest.com
The difficulty of maintaining a balanced energy supply and demand has emerged as a key
issue, creating a number of issues around the globe as a result of the rapidly increasing …