Forecasting of individual electricity consumption using optimized gradient boosting regression with modified particle swarm optimization
LFM Sepulveda, PS Diniz, JOB Diniz, SMB Netto… - … Applications of Artificial …, 2021 - Elsevier
The task of forecasting consumers' energy consumption is currently a trend in energy supply
companies. An accurate prediction of energy consumption is a powerful tool to check for …
companies. An accurate prediction of energy consumption is a powerful tool to check for …
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 …
development of countries. In order to meet the need during the periods when the energy …
An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms
X Li, Z Wang, C Yang, A Bozkurt - Energy, 2024 - Elsevier
In recent years, the escalating demand for electric energy has underscored the need for
robust prediction models capable of accurately anticipating consumption patterns. The …
robust prediction models capable of accurately anticipating consumption patterns. The …
Sensitivity analysis and comparative assessment of novel hybridized boosting method for forecasting the power consumption
J Zhou, Q Wang, H Khajavi, A Rastgoo - Expert Systems with Applications, 2024 - Elsevier
This research focuses on the crucial task of accurately forecasting electricity consumption, a
key concern in modern societies where electricity is essential for industries, healthcare, and …
key concern in modern societies where electricity is essential for industries, healthcare, and …
[PDF][PDF] Electricity consumption prediction using XGBoost based on discrete wavelet transform
W Wang, Y Shi, G Lyu, W Deng - DEStech Transactions on …, 2017 - scholar.archive.org
The purpose of this paper is to predict the daily electricity consumption of the next month. It is
considerably important for people to cope with the problem well. Although few articles …
considerably important for people to cope with the problem well. Although few articles …
[HTML][HTML] Machine Learning and Bagging to Predict Midterm Electricity Consumption in Saudi Arabia
DA Musleh, MA Al Metrik - Applied System Innovation, 2023 - mdpi.com
Electricity is widely regarded as the most adaptable form of energy and a major secondary
energy source. However, electricity is not economically storable; therefore, the power system …
energy source. However, electricity is not economically storable; therefore, the power system …
[HTML][HTML] Short-term energy forecasting using machine-learning-based ensemble voting regression
Meeting the required amount of energy between supply and demand is indispensable for
energy manufacturers. Accordingly, electric industries have paid attention to short-term …
energy manufacturers. Accordingly, electric industries have paid attention to short-term …
Prediction of electrical energy consumption based on machine learning technique
R Banik, P Das, S Ray, A Biswas - Electrical engineering, 2021 - Springer
The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …
of market deregulation and the introduction of renewable resources. To meet the emerging …
Forecasting model for lighting electricity load with a limited dataset using xgboost
M Abdurohman, AG Putrada - Kinetik: Game Technology …, 2023 - kinetik.umm.ac.id
Energy forecasting is an important application of machine learning in renewable energy
because it is used for operational, management, and planning purposes. However, using …
because it is used for operational, management, and planning purposes. However, using …
Forecasting residential electricity consumption using a hybrid machine learning model with online search data
F Gao, H Chi, X Shao - Applied Energy, 2021 - Elsevier
Accurate forecasting of residential electricity consumption plays an important role in
formulating energy plans and ensuring the safety of power system operations. In order to …
formulating energy plans and ensuring the safety of power system operations. In order to …