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 …

Net load uncertainty in electricity spot markets is rapidly growing. There are five general
approaches by which system operators and market participants can use probabilistic …

With photovoltaic power being increasingly integrated into power grid, accurately forecasting
solar irradiance is of critical for ensuring stable and economical operation of power systems …

A recent key research area in renewable energy integration is the development of tools and
methods to capture and accommodate the uncertainty associated with the forecast errors …

In this paper, the intra-day multi-interval rolling-window joint dispatch and pricing of energy
and reserve is studied under increasing volatile and uncertain renewable generations. A …

Photovoltaic (PV) power generation is the most widely adopted renewable energy source.
However, its inherent unpredictability poses considerable challenges to the management of …

How can independent system operators (ISOs) take advantage of probabilistic solar
forecasts to lower generation costs and improve reliability of power systems? We discuss …

The output of solar photovoltaic resources can be variable, with the power variability
manifesting across multiple time scales. Several studies characterize the impacts of …

Power-to-X technologies with flexible electricity consumption has the potential improve the
utilization of variable power generation. Both concentrated solar power (CSP) and …

This paper proposes a data-driven method to estimate real-time regulation reserve
requirements in the California Independent System Operator (CAISO) balancing authority …