The rapid uptake of renewable energy technologies in recent decades has increased the
demand of energy researchers, policymakers and energy planners for reliable data on the …

Large-scale hydro-photovoltaic-wind hybrid systems have the potential to improve flexibility
with multiple renewable energy sources. However, few studies have investigated the optimal …

Rapidly decarbonizing the global energy system is critical for addressing climate change,
but concerns about costs have been a barrier to implementation. Most energy-economy …

Energy system models underpin decisions by energy system planners and operators.
Energy system modeling faces a transformation: accounting for changing meteorological …

Reanalysis models are rapidly gaining popularity for simulating wind power output due to
their convenience and global coverage. However, they should only be relied upon once …

Since global reanalysis datasets first appeared in the 1990s, they have become an essential
tool to understand the climate of the past. The wind power industry uses those products …

Output from meteorological reanalyses are used extensively in both academia and industry
for modelling wind power. Recently, the first batch of the new ERA5 reanalysis was …

In the context of 100% renewable electricity systems, prolonged periods with persistently
scarce supply from wind and solar resources have received increasing academic and …

We analyze 36 years of global, hourly weather data (1980–2015) to quantify the covariability
of solar and wind resources as a function of time and location, over multi-decadal time …

Wind and solar power have experienced rapid cost declines and are being deployed at
scale. However, their output variability remains a key problem for managing electricity …