[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning
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 …
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
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 …
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 …
Using renewable energy sources (RES) and green hydrogen has increased dramatically as
one of the best solutions to global environmental issues. Applying demand response …
one of the best solutions to global environmental issues. Applying demand response …
Offering model for a virtual power plant based on stochastic programming
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 …
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 …
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
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 …
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
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 …
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
Solar irradiance forecasting can reduce the uncertainty of solar power plant output caused
by solar irradiance intermittency. Concentrated solar thermal (CST) plants generate …
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 …
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 …
and finds two dominant assessment methods. A majority of studies reported in the literature …