A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects
With the rapid advancement of technology in the energy sector and the demand for
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …
Solar photovoltaic generation forecasting methods: A review
S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
Review of photovoltaic power forecasting
Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
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 …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources
In this paper, we comparatively evaluate the performance of home energy management
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Y Zhou, J Wang, Z Li, H Lu - Energy Conversion and Management, 2022 - Elsevier
Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …
total global generation, real-time management of solar power has become indispensable …
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques
We compare the 24-hour ahead forecasting performance of two methods commonly used for
the prediction of the power output of photovoltaic systems. Both methods are based on …
the prediction of the power output of photovoltaic systems. Both methods are based on …
Comparing support vector regression for PV power forecasting to a physical modeling approach using measurement, numerical weather prediction, and cloud motion …
The growth of installed photovoltaic (PV) power capacity in recent years has emerged an
increasing interest in high quality forecasts. The most common ways to predict PV power …
increasing interest in high quality forecasts. The most common ways to predict PV power …