[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 …
Flexible Ramp Products: A solution to enhance power system flexibility
Large scale integration of variable and uncertain Renewable Generation (RG) in power
systems causes frequent load-generation imbalances. Systems require additional …
systems causes frequent load-generation imbalances. Systems require additional …
Flexibility-based generation maintenance scheduling in presence of uncertain wind power plants forecasted by deep learning considering demand response …
The special characteristics of renewable energy resources, such as non-emission and low
operating costs, have increased the penetration rate of renewable energy resources in the …
operating costs, have increased the penetration rate of renewable energy resources in the …
A review of improvements in power system flexibility: Implementation, operation and economics
This study presents a literature review on the concept of power system flexibility in terms of
its definition, indices, algorithms, implementation, economic impacts, operational impacts …
its definition, indices, algorithms, implementation, economic impacts, operational impacts …
Flexibility‐based operational management of a microgrid considering interaction with gas grid
Power systems have been undergoing significant restructuring as a result of increasing
independently operated local resources. Consequently, new entities, ie microgrids (MGs) …
independently operated local resources. Consequently, new entities, ie microgrids (MGs) …
Sizing ram** reserve using probabilistic solar forecasts: A data-driven method
Ram** products have been introduced or proposed in several US power markets to
mitigate the impact of load and renewable uncertainties on market efficiency and reliability …
mitigate the impact of load and renewable uncertainties on market efficiency and reliability …
A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems
Operational flexibility is required in power systems to mitigate load-generation imbalances.
Inflexibility either results in infeasible scheduling or shift resources from their economic …
Inflexibility either results in infeasible scheduling or shift resources from their economic …
Electric vehicles and electric storage systems participation in provision of flexible ramp service
The movement of power systems toward carbon-free systems, where renewable energy
sources (RESs) would play a key role in supplying the consumers, has raised new issues in …
sources (RESs) would play a key role in supplying the consumers, has raised new issues in …
Planning energy economy and eco-environment nexus system under uncertainty: A copula-based stochastic multi-level programming method
J Lv, YP Li, GH Huang, YK Ding, X Li, Y Li - Applied Energy, 2022 - Elsevier
Energy consumption, economic growth, and eco-environment protection of urban
agglomeration is full of contradictions and continues to be challenges faced by decision …
agglomeration is full of contradictions and continues to be challenges faced by decision …
Modeling the dependency between extreme prices of selected agricultural products on the derivatives market using the linkage function
The purpose of the article is to identify and estimate the dependency model for the extreme
prices of agricultural products listed on the Chicago Mercantile Exchange. The article …
prices of agricultural products listed on the Chicago Mercantile Exchange. The article …