[HTML][HTML] Benefits of physical and machine learning hybridization for photovoltaic power forecasting

MJ Mayer - Renewable and sustainable energy reviews, 2022 - Elsevier
Irradiance-to-power conversion is an essential step of state-of-the-art photovoltaic (PV)
power forecasting, regardless of the source and post-processing of irradiance forecasts. The …

[HTML][HTML] Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting

MJ Mayer, D Yang - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
Under the two-step framework of photovoltaic (PV) power forecasting, that is, forecasting first
the irradiance and then converting it to PV power, there are two chief ways in which one can …

Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE

S Cui, S Lyu, Y Ma, K Wang - Energy, 2024 - Elsevier
Precise prediction of PV power in the short term is crucial for maintaining power system
stability and balance. However, the performance of conventional time series prediction …

[HTML][HTML] Dynamic grid stability in low carbon power systems with minimum inertia

F Ahmed, D Al Kez, S McLoone, RJ Best, C Cameron… - Renewable Energy, 2023 - Elsevier
The power system transition to large penetrations of renewable generation has become a
core target of decarbonisation roadmaps in many countries. However, switching from …

[HTML][HTML] Probabilistic solar forecasting: Benchmarks, post-processing, verification

T Gneiting, S Lerch, B Schulz - Solar Energy, 2023 - Elsevier
Probabilistic solar forecasts may take the form of predictive probability distributions,
ensembles, quantiles, or interval forecasts. State-of-the-art approaches build on input from …

[HTML][HTML] Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME

MJ Mayer, D Yang, B Szintai - Applied Energy, 2023 - Elsevier
Inspecting the literature, much effort has been placed on the verification of irradiance
forecasts from numerical weather prediction (NWP) models, as such forecasts are thought to …

The value of solar forecasts and the cost of their errors: A review

O Gandhi, W Zhang, DS Kumar… - … and Sustainable Energy …, 2024 - Elsevier
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 …

[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning

Q Paletta, G Terrén-Serrano, Y Nie, B Li… - Advances in Applied …, 2023 - Elsevier
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

[HTML][HTML] Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions

Q Paletta, G Arbod, J Lasenby - Applied Energy, 2023 - Elsevier
Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …

Research on development demand and potential of pumped storage power plants combined with abandoned mines in China

K Yang, Q Fu, L Yuan, Q Liu, X He, F Liu - Journal of Energy Storage, 2023 - Elsevier
To address the problem of unstable large-scale supply of China's renewable energy, the
proposal and accelerated growth of new power systems has promoted the construction and …