Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning …
Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …
for renewable power sources. Computational Intelligence (CI) techniques have been …
[HTML][HTML] Research progress analysis of sustainable smart grid based on CiteSpace
Y Geng, N Zhang, R Zhu - Energy Strategy Reviews, 2023 - Elsevier
The smart grid (SG) research has continued unabated; however, some challenges, such as
stability and security, cause us to focus on sustainable SG, which benefits society …
stability and security, cause us to focus on sustainable SG, which benefits society …
A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Y Chengqing, Y Guangxi, Y Chengming, Z Yu, M ** and investigating three models of the COVID-19 epidemic process …
[HTML][HTML] Machine learning models for solar power generation forecasting in microgrid application implications for smart cities
P Suanpang, P Jamjuntr - Sustainability, 2024 - mdpi.com
In the context of escalating concerns about environmental sustainability in smart cities, solar
power and other renewable energy sources have emerged as pivotal players in the global …
power and other renewable energy sources have emerged as pivotal players in the global …
A wind power forecasting method based on optimized decomposition prediction and error correction
J Li, S Zhang, Z Yang - Electric Power Systems Research, 2022 - Elsevier
To reduce the effect of nonlinearity and volatility in the wind power time sequence, a two-
stage short-term wind power forecasting method based on optimized decomposition …
stage short-term wind power forecasting method based on optimized decomposition …
Forecasting solar energy production using machine learning
When it comes to large‐scale renewable energy plants, the future of solar power forecasting
is vital to their success. For reliable predictions of solar electricity generation, one must take …
is vital to their success. For reliable predictions of solar electricity generation, one must take …
Markowitz mean-variance portfolio optimization with predictive stock selection using machine learning
A Chaweewanchon, R Chaysiri - International Journal of Financial …, 2022 - mdpi.com
With the advances in time-series prediction, several recent developments in machine
learning have shown that integrating prediction methods into portfolio selection is a great …
learning have shown that integrating prediction methods into portfolio selection is a great …
[HTML][HTML] Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: sustainable groundwater restoration
Abstract Study region The Damodar Fan Delta, West Bengal, India. Study focus The
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
depletion of groundwater resources worldwide is escalating due to its profuse demand for …