[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 …
[HTML][HTML] Co-benefits between energy efficiency and demand-response on renewable-based energy systems
Driven by the recent trends towards a smart power system configuration, there has been a
greater focus within the literature on the integration between supply and demand-side …
greater focus within the literature on the integration between supply and demand-side …
Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery
Y Zhang, H Sun, J Tan, Z Li, W Hou, Y Guo - Energy, 2022 - Elsevier
Wind and solar energy are paid more attention as clean and renewable resources.
However, due to the intermittence and fluctuation of renewable energy, the problem of …
However, due to the intermittence and fluctuation of renewable energy, the problem of …
Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice
This paper presents a quantitative framework to support policy decision-making around
equitable energy interventions. By combining sociodemographic and techno-economic …
equitable energy interventions. By combining sociodemographic and techno-economic …
Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets
R Wu, Z Qin - Energy, 2024 - Elsevier
Green finance markets focus on environment-friendly investments and help address climate
change. This study explores the asymmetric dynamic volatility spillovers among new energy …
change. This study explores the asymmetric dynamic volatility spillovers among new energy …
Optimization of co-production air separation unit based on MILP under multi-product deterministic demand
Optimizing gas distribution is one of the most important energy management issues in
process industries such as metallurgy and the chemical industry. The air separation unit …
process industries such as metallurgy and the chemical industry. The air separation unit …
Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties
District energy systems (DES) can reduce CO 2 emissions associated with buildings while
meeting the energy needs of a group of buildings with fossil fuel or renewable energy …
meeting the energy needs of a group of buildings with fossil fuel or renewable energy …
[HTML][HTML] Light robust co-optimization of energy and reserves in the day-ahead electricity market
To accommodate the stochasticity of variable renewable energy sources (VRES) while
efficiently dispatching generation resources and procuring adequate reserves, previous …
efficiently dispatching generation resources and procuring adequate reserves, previous …
Coordination of generation and transmission expansion planning in a liberalized electricity context—coordination schemes, risk management, and modelling …
S Gómez, L Olmos - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
After more than two decades of experience with the deregulated functioning of electricity
markets, the need to coordinate generation and transmission investment decisions has been …
markets, the need to coordinate generation and transmission investment decisions has been …
Sizing ramping reserve using probabilistic solar forecasts: A data-driven method
Ramping 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 …