[HTML][HTML] Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms
In this paper, a sparse machine learning technique is applied to predict the next-hour wind
power. The hourly wind power prediction values within a few future hours can be obtained …
power. The hourly wind power prediction values within a few future hours can be obtained …
Similarity-based models for day-ahead solar PV generation forecasting
Accurate forecasting of solar photovoltaic (PV) power for the next day plays an important role
in unit commitment, economic dispatch, and storage system management. However …
in unit commitment, economic dispatch, and storage system management. However …
Deterministic and probabilistic wind power forecasts by considering various atmospheric models and feature engineering approaches
This study proposed a model for deterministic and probabilistic wind power generation
forecasting and its corresponding procedures. The main contents include numerical weather …
forecasting and its corresponding procedures. The main contents include numerical weather …
Predicting of Photovoltaic Power Generation Using Similarity-Based Forecasting Models
MR Aboelmagd, A Selim… - 2023 24th International …, 2023 - ieeexplore.ieee.org
Accurate forecasting in photovoltaic energy is one of the most essential integrated and
influential events for managing the system of new and renewable energy sources in the …
influential events for managing the system of new and renewable energy sources in the …
The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon
Z Kaheh, M Shabanzadeh - Journal of Big Data, 2021 - Springer
It is evident that developing more accurate forecasting methods is the pillar of building
robust multi-energy systems (MES). In this context, long-term forecasting is also …
robust multi-energy systems (MES). In this context, long-term forecasting is also …
[PDF][PDF] Sensitivity of the General Linear Model to Assumptions
M Jabbar, H Ghorbaniparvar, F Ghorbaniparvar - ijisme.org
Non-Gaussian noise often causes in significant performance abatement for systems which
are designed using Gaussian assumption. This report challenges the question of General …
are designed using Gaussian assumption. This report challenges the question of General …