A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …
forecasting, which constitutes an essential step in planning and operating power systems …
The value of solar forecasts and the cost of their errors: A review
Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …
is known about their value for real applications, eg, bidding in the electricity market, power …
Inherent spatiotemporal uncertainty of renewable power in China
Solar and wind resources are vital for the sustainable energy transition. Although renewable
potentials have been widely assessed in existing literature, few studies have examined the …
potentials have been widely assessed in existing literature, few studies have examined the …
[HTML][HTML] Unsupervised domain adaptation methods for photovoltaic power forecasting
The accurate forecasting of photovoltaic (PV) power generation is of great significance in
renewable energy systems, as it enables optimal energy management and grid stability …
renewable energy systems, as it enables optimal energy management and grid stability …
[HTML][HTML] Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection
Solar energy supply is usually highly volatile, limiting its integration into the power grid.
Accurate probabilistic intraday forecasts of solar resources are essential to increase the …
Accurate probabilistic intraday forecasts of solar resources are essential to increase the …
Techno-economic assessment of photovoltaic plants considering high temporal resolution and non-linear dynamics of battery storage
The addition of energy storage systems for photovoltaic plants in order to provide reliability
and flexibility in their dispatch is a very active line of research, as it studies plant design …
and flexibility in their dispatch is a very active line of research, as it studies plant design …
A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods
Feature engineering (or creation of new features) that strengthens the importance of
fundamental variables (eg, cloud cover, partial shading, solar irradiance) is essential in …
fundamental variables (eg, cloud cover, partial shading, solar irradiance) is essential in …
Dynamic forecasting model of a hybrid photovoltaic/gravity energy storage system for residential applications
Renewable energy will struggle to grow unless cheaper energy storage technologies
become available. Furthermore, the proper deployment of these technologies necessitates …
become available. Furthermore, the proper deployment of these technologies necessitates …
Deep learning forecasting tool facilitating the participation of photovoltaic systems into day-ahead and intra-day electricity markets
D Kothona, K Spyropoulos, C Valelis, C Koutsis… - … Energy, Grids and …, 2023 - Elsevier
The participation of photovoltaic (PV) power into the energy market requires the
development of accurate forecasting models to alleviate the imbalance penalties and ensure …
development of accurate forecasting models to alleviate the imbalance penalties and ensure …
System value and utilization performance analysis of grid-integrated energy storage technologies in Japan
Y Li, W Xu, X Zhang, Z Wang, W Gao, Y Xu - Journal of Energy Storage, 2023 - Elsevier
Deploying utility-scale storage systems is expected to play a critical role in improving energy
flexibility and economic performance considering rising variable renewable energy …
flexibility and economic performance considering rising variable renewable energy …