Maximizing solar potential
Emissions reduction targets for the energy industry, consumers and industry alike, are accelerating the development of renewable energy sources (RE). Photovoltaics (PV) has established itself as a cutting-edge, cost-effective and sustainable technology. The growth in solar energy production has highlighted the importance of accurate forecasting to estimate the power of installations over several time horizons.
Industries: what are the solutions for overcoming energy dependence?
To increase their energy sovereignety while accelerating their energy transition, many industries are integrating solar energy into their energy mix through self-consumption.
Storage and PV: what opportunities?
Intermittent, variable and subject to the uncertain weather, solar energy remains a highly promising solution for meeting decarbonization targets and reducing greenhouse gas emissions.
Probabilistic forecasting methods
Unlike deterministic methods, which produce a single result, probabilistic approaches provide a range of possible outcomes with associated probabilities. These methods take into account the uncertainty inherent in the various factors influencing forecasts, such as data variability.
Solar forecasts: a question of data analysis
Solar resource forecasting has become an essential aspect of the operation of photovoltaic (PV) power plants to increase the production of renewable energy from the sun. Solar resource forecasting is essentially a data story, where vast quantities of data are collected, analyzed and transformed into actionable information by grid operators, power plant operators, energy trading aggregators and developers of future installations.