Hybrid solar and wind energy systems - DayAhead combined forecasting

Hybrid Forecasting

Overview

Hybrid renewable energy systems, combining solar and wind power, offer enhanced generation potential and grid stability making them a sustainable environment-friendly alternative to fossil fuel. However, the variability and intermittency of both resources present complex forecasting challenges. Accurate forecasting for hybrid systems is essential for ensuring efficient energy dispatch, maintaining grid balance, and maximizing market participation.

At DayAhead, we provide comprehensive hybrid forecasting solutions that integrate solar and wind data, delivering reliable and accurate predictions through artificial intelligence (AI). Our technology is designed to support compliance with global regulatory standards and empower renewable energy operators to make informed, real-time decisions.

Why is Forecasting Crucial?

Grid Stability & Reliability:

Forecasting both solar and wind inputs ensures smoother power delivery, reducing fluctuations and maintaining system frequency across integrated grids.

Market Optimization:

With better hybrid forecasts, operators can optimize the dispatch of both resources, reduce system curtailment, and enhance profitability through improved load matching.

Operational Efficiency:

Forecasting helps hybrid operators optimize energy dispatch strategies, reducing curtailment and increasing revenue.

Regulatory Compliance:

Global grid codes increasingly mandate hybrid scheduling. Our forecasts ensure clients meet the compliance standards set by ISOs, RTOs, and national regulators.

Our Hybrid Solutions

Hybrid power forecasting dashboard - Multi-time horizon predictions

Multi-Time Horizon Forecasting

We offer high-precision forecasting across multiple timeframes:

Intra-day Forecasting:
Near real-time updates for responsive decision-making and short-term trading.

Day-Ahead Forecasting:
Next-day predictions supporting market bids and dispatch planning.

Week-Ahead Forecasting:
Extended outlooks for strategic planning, maintenance scheduling, and risk mitigation.

Advanced Weather & AI Models

To achieve seamless hybrid forecasting, we integrate:

Global Meteorological Data:
Real-time feeds from international weather agencies and satellite networks.

Machine Learning & AI:
Models trained to analyze and forecast hybrid generation based on location-specific patterns, seasonality, and site topology.

Statistical Models:
We combine physical models (Numerical Weather Prediction) with statistical and AI refinement techniques to generate robust and adaptive hybrid forecasts.

AI-powered hybrid forecasting models - Machine learning analytics

Shaping the Future of Renewables Forecasting

With our global expertise and state-of-the-art technology, DayAhead is committed to enabling the seamless integration of renewable energy into modern energy markets.