[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning

Q Paletta, G Terrén-Serrano, Y Nie, B Li… - Advances in Applied …, 2023 - Elsevier
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

A review on the integration of probabilistic solar forecasting in power systems

B Li, J Zhang - Solar Energy, 2020 - Elsevier
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …

[HTML][HTML] Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response …

R Khalili, A Khaledi, M Marzband, AF Nematollahi… - Applied Energy, 2023 - Elsevier
Using renewable energy sources (RES) and green hydrogen has increased dramatically as
one of the best solutions to global environmental issues. Applying demand response …

Offering model for a virtual power plant based on stochastic programming

H Pandžić, JM Morales, AJ Conejo, I Kuzle - Applied Energy, 2013 - Elsevier
A virtual power plant aggregates various local production/consumption units that act in the
market as a single entity. This paper considers a virtual power plant consisting of an …

Risk-constrained stochastic optimization of a concentrating solar power plant

D Yu, AG Ebadi, K Jermsittiparsert… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A central concentrating solar power (CSP) plant is increasing in the power systems as novel
technology in the solar energy sources. Also, solar thermal storage unit is combined with the …

A stochastic adaptive robust optimization approach for the offering strategy of a virtual power plant

A Baringo, L Baringo - IEEE transactions on power systems, 2016 - ieeexplore.ieee.org
This paper proposes a novel approach for the offering strategy of a virtual power plant that
participates in the day-ahead and the real-time energy markets. The virtual power plant …

Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products

J Wang, H Zhong, W Tang, R Rajagopal, Q Xia, C Kang… - Applied Energy, 2017 - Elsevier
Due to the volatile nature of wind and photovoltaic power, wind farms and solar stations are
generally thought of as the consumers of ramping services. However, a microgrid (MG) is …

Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting–A review

EW Law, AA Prasad, M Kay, RA Taylor - Solar Energy, 2014 - Elsevier
Solar irradiance forecasting can reduce the uncertainty of solar power plant output caused
by solar irradiance intermittency. Concentrated solar thermal (CST) plants generate …

Day-ahead offering strategy in the market for concentrating solar power considering thermoelectric decoupling by a compressed air energy storage

S Sun, SM Kazemi-Razi, LG Kaigutha, M Marzband… - Applied Energy, 2022 - Elsevier
Due to limited fossil fuel resources, a growing increase in energy demand and the need to
maintain positive environmental effects, concentrating solar power (CSP) plant as a …

Economic assessment of concentrated solar power technologies: A review

AW Dowling, T Zheng, VM Zavala - Renewable and Sustainable Energy …, 2017 - Elsevier
This paper surveys economic assessments of concentrated solar power (CSP) technologies
and finds two dominant assessment methods. A majority of studies reported in the literature …