Compressed air energy storage in integrated energy systems: A review
The intermittency nature of renewables adds several uncertainties to energy systems and
consequently causes supply and demand mismatch. Therefore, incorporating the energy …
consequently causes supply and demand mismatch. Therefore, incorporating the energy …
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 …
A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models
A Bhansali, N Narasimhulu, R Pérez de Prado… - Energies, 2023 - mdpi.com
Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
Resilience-centered optimal sizing and scheduling of a building-integrated PV-based energy system with hybrid adiabatic-compressed air energy storage and battery …
This study investigates the economic and resilience co-optimization of a decentralized
hybrid energy system (HES) within scenarios involving limited energy sources and a hybrid …
hybrid energy system (HES) within scenarios involving limited energy sources and a hybrid …
[HTML][HTML] A comprehensive review of artificial intelligence approaches for smart grid integration and optimization
Technological advancements, urbanization, high energy demand, and global requirements
to mitigate carbon footprints have led to the adoption of innovative green technologies for …
to mitigate carbon footprints have led to the adoption of innovative green technologies for …
Evaluation of a hybrid power system based on renewable and energy storage for reliable rural electrification
Microgrids system consisting of single or multiple energy resources and storage is used to
provide electricity to remote rural areas. Subsequently, they can be worked in both grid …
provide electricity to remote rural areas. Subsequently, they can be worked in both grid …
State-of-the-Art using bibliometric analysis of Wind-Speed and-Power forecasting methods applied in power systems
A Lagos, JE Caicedo, G Coria, AR Quete, M Martínez… - Energies, 2022 - mdpi.com
The integration of wind energy into power systems has intensified as a result of the urgency
for global energy transition. This requires more accurate forecasting techniques that can …
for global energy transition. This requires more accurate forecasting techniques that can …
A review on a data-driven microgrid management system integrating an active distribution network: Challenges, issues, and new trends
The advent of renewable energy sources (RESs) in the power industry has revolutionized
the management of these systems due to the necessity of controlling their stochastic nature …
the management of these systems due to the necessity of controlling their stochastic nature …
Energy performance analysis of photovoltaic integrated with microgrid data analysis using deep learning feature selection and classification techniques
Microgrids are an essential element of smart grids, which contain distributed renewable
energy sources (RESs), energy storage devices, and load control strategies. Models built …
energy sources (RESs), energy storage devices, and load control strategies. Models built …
Data analytics and information technologies for smart energy storage systems: A state-of-the-art review
This article provides a state-of-the-art review on emerging applications of smart tools such
as data analytics and smart technologies such as internet-of-things in case of design …
as data analytics and smart technologies such as internet-of-things in case of design …