[HTML][HTML] A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
The efforts to revolutionize electric power generation and produce clean and sustainable
electricity have led to the exploration of renewable energy systems (RES). This form of …
electricity have led to the exploration of renewable energy systems (RES). This form of …
[HTML][HTML] Unleashing the potential of sixth generation (6G) wireless networks in smart energy grid management: A comprehensive review
As the world continues to seek sustainable and efficient energy solutions, the integration of
advanced technologies into smart energy grid management (SEGM) becomes a paramount …
advanced technologies into smart energy grid management (SEGM) becomes a paramount …
A comprehensive review on ensemble solar power forecasting algorithms
With increasing demand for energy, the penetration of alternative sources such as
renewable energy in power grids has increased. Solar energy is one of the most common …
renewable energy in power grids has increased. Solar energy is one of the most common …
Artificial neural networks for photovoltaic power forecasting: a review of five promising models
Solar energy is largely dependent on weather conditions, resulting in unpredictable,
fluctuating, and unstable photovoltaic (PV) power outputs. Thus, accurate PV power …
fluctuating, and unstable photovoltaic (PV) power outputs. Thus, accurate PV power …
[HTML][HTML] Techno-economic analysis and predictive operation of a power-to-hydrogen for renewable microgrids
To enhance renewable energy (RE) generation and maintain power balance, energy
storage systems are of utmost importance. This research introduces a cutting-edge Power-to …
storage systems are of utmost importance. This research introduces a cutting-edge Power-to …
[HTML][HTML] Challenges of artificial intelligence development in the context of energy consumption and impact on climate change
With accelerating climate change and rising global energy consumption, the application of
artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for …
artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for …
A machine learning study on a municipal solid waste-to-energy system for environmental sustainability in a multi-generation energy system for hydrogen production
Municipal solid waste (MSW)-to-energy systems have gained significant attention in recent
years for their potential to produce renewable energy from waste. These systems involve the …
years for their potential to produce renewable energy from waste. These systems involve the …
Algorithms for hyperparameter tuning of lstms for time series forecasting
The rapid growth in the use of Solar Energy for sustaining energy demand around the world
requires accurate forecasts of Solar Irradiance to estimate the contribution of solar power to …
requires accurate forecasts of Solar Irradiance to estimate the contribution of solar power to …
Artificial intelligence for management of variable renewable energy systems: a review of current status and future directions
This review paper provides a summary of methods in which artificial intelligence (AI)
techniques have been applied in the management of variable renewable energy (VRE) …
techniques have been applied in the management of variable renewable energy (VRE) …