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, ...

The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...

Under the partnership, forecasts for the Enwex index suite—which translates temperature, wind, and solar conditions into standardized indices—will be available through Salient’s platform, enabling ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

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 ...

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 ...

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 ...

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 ...

(Reuters) -Enphase Energy forecast fourth-quarter revenue below Wall Street estimates on Tuesday, and said U.S. President Donald Trump's tariffs had a negative impact on its margins, sending the solar ...

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 ...