Tigo Energy has announced the expansion of its Predict+ platform, introducing advanced modeling features designed to improve the accuracy of financial forecasting and grid integration for ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...

“For energy providers with their fickle raw materials, the only way to manage uncertainty is a detailed and timely understanding of energy supply and demand,” writes Evgeny Finkel. Image: Tigo Energy ...

Global energy markets, valued at $24.1 billion in 2024 and projected to grow to $31.2 billion by 2031, have always been influenced by weather. Solar generation depends on clear skies, wind power ...

AI-driven electricity demand is accelerating — concentrated and opaque — undermining traditional forecasting models and ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Hitachi Energy debuts Nostradamus AI, which delivers fast, accurate renewable energy forecasts, load predictions, and market pricing insights. Nostradamus AI is one of the first AI forecasting tools ...

The Dutch company says its short-term trading solutions for solar and other renewable energy technologies, supports grid balancing, reduces the costs of imbalance, and optimizes energy flows in an ...

PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...