Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
[HTML][HTML] Statistical postprocessing for weather forecasts: Review, challenges, and avenues in a big data world
Statistical postprocessing techniques are nowadays key components of the forecasting
suites in many national meteorological services (NMS), with, for most of them, the objective …
suites in many national meteorological services (NMS), with, for most of them, the objective …
Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach
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 …
with high-penetration renewables. Based on big historical data, in this article, a novel …
Model-free renewable scenario generation using generative adversarial networks
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 …
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 …
programming for energy systems with integrated wind power. To comprehensively …
Stochastic optimization for unit commitment—A review
Optimization models have been widely used in the power industry to aid the decision-
making process of scheduling and dispatching electric power generation resources, a …
making process of scheduling and dispatching electric power generation resources, a …
Probabilistic forecasting
T Gneiting, M Katzfuss - Annual Review of Statistics and Its …, 2014 - annualreviews.org
A probabilistic forecast takes the form of a predictive probability distribution over future
quantities or events of interest. Probabilistic forecasting aims to maximize the sharpness of …
quantities or events of interest. Probabilistic forecasting aims to maximize the sharpness of …
Review on probabilistic forecasting of wind power generation
Y Zhang, J Wang, X Wang - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
The randomness and intermittence of wind resources is the biggest challenge in the
integration of wind power into the power system. Accurate forecasting of wind power …
integration of wind power into the power system. Accurate forecasting of wind power …
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 …
spectrum disorder (ASD) in Brazil and the coping strategies employed. SOURCES …
Wind energy: Forecasting challenges for its operational management
P Pinson - 2013 - projecteuclid.org
Renewable energy sources, especially wind energy, are to play a larger role in providing
electricity to industrial and domestic consumers. This is already the case today for a number …
electricity to industrial and domestic consumers. This is already the case today for a number …