The Future of Solar Energy Forecasting
Revolutionizing intraday solar energy trading through AI-powered computer vision and real-time forecasting. Our cutting-edge technology combines satellite imagery, weather data, and machine learning to predict solar energy output with unprecedented accuracy.
Advanced machine learning algorithms analyze complex weather patterns
Real-time satellite and ground-based image analysis
Maximize profits through precise energy market predictions
Solar energy operators face critical challenges that cost millions in lost revenue
Weather changes cause solar production to fluctuate wildly, making accurate forecasting nearly impossible with traditional methods.
Inaccurate forecasts result in costly penalties and imbalance charges that can reach thousands of euros daily.
Poor forecasting limits renewable energy integration, slowing the transition to clean energy.
SolarCastAI combines cutting-edge AI with local computer vision for unprecedented accuracy
Local cameras capture real-time sky conditions, cloud movement, and solar angles with precision that satellites can't match.
Machine learning algorithms continuously adapt to local weather patterns and plant characteristics for maximum accuracy.
Seamless integration with SCADA systems and trading platforms for instant forecast-to-bid decisions.
Cutting-edge AI and computer vision technologies working in harmony
Experience the future of solar forecasting through our interactive platform showcase
Live Performance Monitoring
Seamless System Connection
Automated Market Intelligence
Live Performance Monitoring
Monitor your solar plant performance, weather conditions, and forecasts in real-time with our intuitive dashboard.
Real-time system performance
Massive growth in solar energy and AI markets creates unprecedented opportunity
Annual capacity growth in Europe
Intraday market growth annually
AI in energy by 2027
Initial market validation
Slovenia, Croatia, North Macedonia
Full European market penetration
SolarCastAI's unique positioning in the solar forecasting market
Proprietary computer vision algorithms
Purpose-built for short-term trading optimization
Software-only approach with faster deployment
AccuWeather, Weather Underground
General weather forecasting with limited solar-specific capabilities
Schneider Electric, ABB
Hardware-focused solutions with basic forecasting features
First-mover advantage in AI-powered intraday solar forecasting
Proven expertise in energy systems, AI, and trading
System Architect
10+ years implementing MDMS for major TSO/DSO operators across Western Balkans
ML Engineer - Time Series
Specialist in predictive modeling and intraday electricity forecasting
ML Engineer - Computer Vision
7 years ML experience in environmental imagery and spatiotemporal modeling
Frontend Developer
Lead developer of Nimbus Weather Data Studio with expertise in real-time visualization
Energy Trading Expert
Solar plant owner and trader with expertise in intraday markets across SE Europe
Backend Developer
Experienced backend developer specializing in scalable systems and data processing
Strategic investment for maximum impact and growth
18-month development cycle
Comprehensive risk analysis with proven mitigation strategies
AI models may lose accuracy over time due to changing weather patterns
Reliance on third-party satellite and weather data providers
Processing large volumes of real-time data across regions
Energy market regulations could impact trading strategies
Large tech companies entering solar forecasting space
Energy companies may be slow to adopt new technologies
System Uptime Target
Backup Data Sources
Monitoring & Support
TRL 5-8 experimental development approach to market-ready solution
Months 1-6
Months 7-12
Months 13-15
Months 16-18
15-min resolution forecasts
Operational solar installations
24/7 operational availability
Join us in revolutionizing solar energy forecasting and accelerating the renewable energy transition
20-30% accuracy improvement = significant cost savings
Proven track record in energy systems and AI
First-of-its-kind local computer vision approach
Expandable across European renewable energy markets
To validate technology and scale regionally
This investment will establish Montenegro as a pioneer in renewable energy AI technology, creating jobs, attracting international partnerships, and contributing to the global clean energy transition.