A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

TM Alabi, EI Aghimien, FD Agbajor, Z Yang, L Lu… - Renewable Energy, 2022 - Elsevier
The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …

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 …

Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach

Y Li, J Li, Y Wang - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
Scenario generation is a fundamental and crucial tool for decision-making in power systems
with high-penetration renewables. Based on big historical data, in this article, a novel …

Model-free renewable scenario generation using generative adversarial networks

Y Chen, Y Wang, D Kirschen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Scenario generation is an important step in the operation and planning of power systems
with high renewable penetrations. In this work, we proposed a data-driven approach for …

Review of wind power scenario generation methods for optimal operation of renewable energy systems

J Li, J Zhou, B Chen - Applied Energy, 2020 - Elsevier
Scenario generation is an effective method for addressing uncertainties in stochastic
programming for energy systems with integrated wind power. To comprehensively …

Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability

W Dong, X Chen, Q Yang - Applied Energy, 2022 - Elsevier
Efficient and reliable scenario generation is of paramount importance in the modeling of
uncertainties and fluctuations of wind and solar based renewable energy production for …

Wind and solar power integration in electricity markets and distribution networks through service-centric virtual power plants

D Koraki, K Strunz - IEEE Transactions on Power Systems, 2017 - ieeexplore.ieee.org
A virtual power plant (VPP) is formulated and developed as a service-centric aggregator that
enables the market integration of distributed energy resources and simultaneously supports …

Deep learning-based multivariate probabilistic forecasting for short-term scheduling in power markets

JF Toubeau, J Bottieau, F Vallée… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In the current competition framework governing the electricity sector, complex dependencies
exist between electrical and market data, which complicates the decision-making procedure …

[HTML][HTML] A review on long-term electrical power system modeling with energy storage

CS Lai, G Locatelli, A Pimm, X Wu, LL Lai - Journal of Cleaner Production, 2021 - Elsevier
Driven by the demand for intermittent power generation, Energy Storage (ES) will be widely
adopted in future electricity grids to provide flexibility and resilience. Technically, there are …

Autism in Brazil: a systematic review of family challenges and coping strategies

PTM Gomes, LHL Lima, MKG Bueno, LA Araújo… - Jornal de …, 2015 - SciELO Brasil
OBJECTIVE: To describe the challenges faced by families caring for children with autism
spectrum disorder (ASD) in Brazil and the coping strategies employed. SOURCES …