A survey of real-time optimal power flow

E Mohagheghi, M Alramlawi, A Gabash, P Li - Energies, 2018 - mdpi.com
There has been a strong increase of penetration of renewable energies into power systems.
However, the renewables pose new challenges for the operation of the networks …

[HTML][HTML] Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations

C Brester, V Kallio-Myers, AV Lindfors… - Renewable Energy, 2023 - Elsevier
The effective use of solar photovoltaic (PV) installations implies the integration of solar PV
output into overall energy consumption planning, optimization, and control. Moreover, day …

Assessment of different deep learning methods of power generation forecasting for solar PV system

WC Kuo, CH Chen, SH Hua, CC Wang - Applied Sciences, 2022 - mdpi.com
An increase in renewable energy injected into the power system will directly cause a
fluctuation in the overall voltage and frequency of the power system. Thus, renewable …

Similarity-based models for day-ahead solar PV generation forecasting

H Sangrody, N Zhou, Z Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Weather forecasting error in solar energy forecasting

H Sangrody, M Sarailoo, N Zhou, N Tran… - IET Renewable …, 2017 - Wiley Online Library
As renewable distributed energy resources (DERs) penetrate the power grid at an
accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) …

Medium-term load forecasting using support vector regression, feature selection, and symbiotic organism search optimization

A Zare-Noghabi, M Shabanzadeh… - 2019 IEEE Power & …, 2019 - ieeexplore.ieee.org
An accurate load forecasting has always been one of the main indispensable parts in the
operation and planning of power systems. Among different time horizons of forecasting …

Chance constrained optimal power flow using the inner-outer approximation approach

E Mohagheghi, A Geletu, N Bremser… - … on Environment and …, 2018 - ieeexplore.ieee.org
In recent years, there has been a huge trend to penetrate renewable energy sources into
energy networks. However, these sources introduce uncertain power generation depending …

Day-ahead solar forecasting based on multi-level solar measurements

M Alanazi, M Mahoor, A Khodaei - 2018 IEEE/PES …, 2018 - ieeexplore.ieee.org
The growing proliferation in solar deployment, especially at distribution level, has made the
case for power system operators to develop more accurate solar forecasting models. This …

Battery swapping station as an energy storage for capturing distribution-integrated solar variability

ZS Hosseini, M Mahoor… - 2018 North American …, 2018 - ieeexplore.ieee.org
Managing the inherent variability of solar generation is a critical challenge for utility grid
operators, particularly as the distribution grid-integrated solar generation is making fast …

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 …