Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview
Energy storage technology plays a role in improving new energy consumption capacities,
ensuring the stable and economic operation of power systems, and promoting the …
ensuring the stable and economic operation of power systems, and promoting the …
Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects
This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …
renewable energy generation using machine learning (ML) and deep learning (DL) …
Feature selection in wind speed forecasting systems based on meta-heuristic optimization
Technology for anticipating wind speed can improve the safety and stability of power
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
Techno-economic analysis and Monte Carlo simulation for green hydrogen production using offshore wind power plant
With the growth of marine energy such as offshore wind power, hydrogen is a promising
solution for the intermittence of renewable energy sources and long-distance transmission …
solution for the intermittence of renewable energy sources and long-distance transmission …
Wind speed ensemble forecasting based on deep learning using adaptive dynamic optimization algorithm
The development and deployment of an effective wind speed forecasting technology can
improve the safety and stability of power systems with significant wind penetration. Due to …
improve the safety and stability of power systems with significant wind penetration. Due to …
A decade review on smart cities: paradigms, challenges and opportunities
Smart City has been an emerging research domain for Government, Businesses, and
researchers in the last few years. The Indian government is also interested and investing lots …
researchers in the last few years. The Indian government is also interested and investing lots …
Closed-loop home energy management system with renewable energy sources in a smart grid: A comprehensive review
Nowadays, energy plays a prominent role in all aspects of our life. So far, unclean and non-
renewable energy, which has severe economic and environmental impacts, dominant the …
renewable energy, which has severe economic and environmental impacts, dominant the …
Critical review of data, models and performance metrics for wind and solar power forecast
Global climatic changes and increased carbon footprints provided the main impetus for the
decrease in the use of fossil fuels for electricity generation and transportation. Matured …
decrease in the use of fossil fuels for electricity generation and transportation. Matured …
Optimization of the operation and maintenance of renewable energy systems by deep reinforcement learning
Equipment of renewable energy systems are being supported by Prognostics & Health
Management (PHM) capabilities to estimate their current health state and predict their …
Management (PHM) capabilities to estimate their current health state and predict their …
[HTML][HTML] Future energy insights: Time-series and deep learning models for city load forecasting
Most of the utility meters in Sweden are now integrated with Internet of Things (IoT)
technology. This modern approach significantly enhances our understanding of energy …
technology. This modern approach significantly enhances our understanding of energy …