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# CalibSun: Solar forecasts empowered  by on site data

## Sitemaps
[XML Sitemap](https://www.calibsun.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [The Duck Curve in 2026: How Solar and Battery Storage Forecasting Reshape Grid Flexibility](https://www.calibsun.com/duck-curve-bess/): The duck curve is the defining shape of net load in every high-solar electricity market: a steep midday dip as solar power generation floods the grid, followed by a sharp evening ramp when the sun sets just as demand peaks. First named by California's grid operator CAISO in 2012, the duck curve has deepened every year that solar capacity has grown, and by 2025-2026 several grids describe it less as a duck than as a canyon. Deeper net load swings, more frequent solar curtailment and more hours of negative electricity prices are seen across California, Germany, India and China solar markets.
- [Sky imager networks for sub-hourly solar forecasting in tropical climates](https://www.calibsun.com/sub-hourly-solar-forecasting-tropical-climates/): A convective cell is born, peaks and is gone inside the hour. Ninety-six days of measured data on an operating tropical plant show where satellite imagery and weather models stop carrying information, and what a ground-based camera network puts in their place.
- [Proof that in-situ data improves solar forecasts: results from an independent European benchmark](https://www.calibsun.com/independent-solar-forecast-benchmark/): Ranked first of seven providers on intraday solar forecast accuracy in an independent European benchmark. 33% error reduction at 15 minutes, 46% at 5 minutes.
- [Numerical weather prediction models (NWP): The 131-million data point engine behind your weather forecast](https://www.calibsun.com/numerical-weather-prediction-data-points/): Every accurate weather forecast starts the same way: physical equations applied to the Earth's atmosphere, solved across more than 131 million grid points, powered by supercomputers running at 29 petaflops. Weather models don't simply predict future weather conditions - they simulate the atmosphere from first principles, encoding atmospheric dynamics, precipitation, solar radiation, and temperature into computer-generated predictions updated every six hours. Fed by observational data from weather stations, weather balloons, doppler radar, and satellites, global models like GFS or ECMWF generate forecasts up to 15 days ahead. From global forecast models to high-resolution mesoscale applications, numerical modeling is the technological foundation of modern meteorology.
- [Understanding solar energy potential across all time horizons](https://www.calibsun.com/solar-energy-potential-time-horizons/): Accurately estimating solar energy potential at a professional scale requires reliable solar irradiance data, multi-source meteorological modeling, and the capacity to translate complex inputs into actionable electricity generation forecasts. Whether managing a solar power plant, planning grid capacity, or structuring a long-term PV investment, forecast accuracy directly conditions performance outcomes and return on investment.
- [Industries: what are the solutions for energy independence?](https://www.calibsun.com/solutions-for-energy-independence/): Energy independence refers to how much a country or sector relies on external sources (fossil fuels, oil, wind, solar, natural gas) to meet its total domestic energy consumption. International statistics show this dependency translates directly into financial exposure, supply chain vulnerability, and geopolitical risk, with consequences reaching every sector, from economic development to the environment. For industries, investing in renewable energy sources to access cleaner, stable power is no longer optional: it's a strategic lever for economic stability and long-term resilience.
- [Storage and PV: what opportunities?](https://www.calibsun.com/pv-storage-what-opportunities/): Solar generation is intermittent. Your load isn't, and at industrial and utility scale, that gap is where money is lost, grid stability is compromised, and energy independence stays out of reach. Combining photovoltaic power with the right battery energy storage solutions turns that gap into a competitive lever. The question is no longer whether it makes sense for your operation. It's how to make it perform.
- [Probabilistic Forecasting Methods for Solar Energy](https://www.calibsun.com/probabilistic-forecast-method-solar-energy/): A deterministic forecast may indicate an expected output of 80 MW at a given time step, but offer no indication of whether actual production could reasonably fall anywhere between 50 MW and 110 MW. That gap between the predicted value and the true range of possible outcomes is precisely where poor decisions are made,and where probabilistic forecasting provides its most tangible value.
- [Solar Data Forecasting Models: Transforming Weather Inputs into Accurate Energy Predictions](https://www.calibsun.com/solar-data-forecasting-models/): Accurate solar power forecasting starts with choosing the right predictive modeling approach. Solar resource forecasting is one of the most data-intensive challenges across energy industries, combining time series analysis, multiple weather inputs, and real-time cloud conditions to predict future production with precision. The forecasting model you select directly shapes forecast accuracy, and with it, the financial planning, resource allocation, and revenue performance of every PV asset. For companies and analysts alike, getting this right isn't a technical detail, it's a strategic business decision.

## Pages
- [Solar forecasting in Brazil](https://www.calibsun.com/solar-energy-forecasting-brazil/): Brazil passed 68.7 GW of installed solar in 2026, a quarter of national capacity, and about 22 GW of it feeds the transmission grid. Between 2022 and 2024 the share of producible renewable energy that never reached the system rose from 0.5 to 9.3%. The decision now sits inside the hour, not inside the day.
- [Api documentation](https://www.calibsun.com/api/doc/)
- [CalibSun API](https://www.calibsun.com/api/): Every CalibSun forecast is available through a REST API: probabilistic and deterministic output per 15-minute block, historical runs, plant configuration, and an endpoint to push your own measurements back to us. Two hosts are available: api.calibsun.com for the global service, and api-india.calibsun.com for plants whose data must remain in India. Access is authenticated by bearer token, and credentials are generated from your account, under My Account then My API credentials.
- [Market | Hybrid and off-grid industries](https://www.calibsun.com/hybrid-and-off-grid-industries/): For isolated or energy-intensive industries integrating photovoltaic energy, maintaining a stable and continuous power supply is a technical challenge that goes far beyond simply installing solar panels. Hybridization, combining local solar generation with backup energy sources, introduces a fundamental dependency on weather conditions that must be actively managed. This challenge is not limited to mining sites or remote industrial plants, it also applies increasingly to behind the meter configurations, where large power consumers, including AI data centers, operate a private microgrid with the grid as a backup rather than as the primary source.
- [Market | PV development](https://www.calibsun.com/pv-development/): For solar PV assets’ development, accurately estimating the solar resource of a future site is the critical first step of any photovoltaic project. From feasibility studies to financial close, every downstream decision depends on the quality of this initial assessment.
- [Market | PV+BESS](https://www.calibsun.com/pv-storage-bess/): Solar energy storage is reshaping how solar power is valued on electricity markets and how grid stability is maintained. By storing excess solar energy in batteries, utility-scale solar power plants can shift generation to peak demand hours, maximize revenues, reduce reliance on the grid and minimize imbalance costs. Battery energy storage systems (BESS) coupled with solar panels have therefore become a cornerstone of renewable energy strategies.
- [Solar renewables | Solar energy in China](https://www.calibsun.com/china-solar-energy/): China installed 1,126 GW of solar by September 2025, and 5.3% of available output was not delivered, close to 50 TWh in nine months. The single administered tariff is gone. Revenue now depends on what the plant declared, province by province.
- [Solar renewables | Solar energy in US](https://www.calibsun.com/us-solar-energy/): In the US, curtailment took 11.5% of Californian solar generation between January and May 2025, and more than 58,000 MWh were cut in a single day on 29 March. CAISO and ERCOT settle every deviation at the five-minute price. The decision sits inside the interval, not the day.
- [Solar renewables | Solar energy in Latin America](https://www.calibsun.com/solar-energy-in-latin-america/): Latin America is not one market. Chile curtailed 6 084 GWh of solar and wind in 2025, Brazil restricts injection in the Northeast while it compensates part of it, Mexico is rebuilding transmission, and Argentina is reopening. What they share is a grid that absorbs less than the fleet can produce, and a settlement that prices the difference.
- [Solar renewables | Solar energy in India](https://www.calibsun.com/india-solar-energy/): India crossed 164.6 GW of installed solar in July 2026, and one third of the capacity recently commissioned cannot always reach the grid. Since 1 April 2026 the deviation band is half what it was. Both constraints resolve inside the same fifteen-minute block.
- [Scientific publications](https://www.calibsun.com/scientific-publications/): CalibSun is a spin-off of Solaïs, a solar engineering consulting firm with over 18 years of expertise in the photovoltaic sector, which allows us to have invaluable practical knowledge of PV financing, development and operations.
- [Sensor expertise | How it works](https://www.calibsun.com/sensor-expertise/how-it-works/): No. Sensor Expertise is strictly limited to sensor operation and data analysis. Hardware, servers and system architecture remain the client’s responsibility.
- [Services | Sensor expertise](https://www.calibsun.com/sensor-expertise/): CalibSun provides Sensor Expertise, an independent expert service covering pre-project  and operational phases of a PV plant's lifecycle.  It creates concrete opportunities to secure energy production, improve efficiency and align measurement requirements with international standards.
- [FUTURE | How it works](https://www.calibsun.com/future-solar-resource-assessment/future-how-it-works/): FUTURE is CalibSun's solar resource assessment service, combining ground-based sensor measurement with a meteorological station and a proprietary digital calibration algorithm. Deployed as a self-sufficient, connected turnkey device, the meteorological station measures solar irradiance, temperature, and key weather parameters at 5-minute intervals over 12 consecutive months, with remote real-time data access throughout the campaign to ensure a seamless quality check. By cross-referencing on-site measuring data with historical satellite sources, FUTURE corrects systematic bias and delivers highly accurate solar energy output estimates. The result: a bankable data package meeting the standards required by investors, banks, and technical advisors for any photovoltaic power project.
- [Services | FUTURE](https://www.calibsun.com/future-solar-resource-assessment/): Accurate solar resource assessment is critical to the bankability and success of any solar energy project. The quality of your solar radiation data directly shapes investor confidence, financing conditions, and long-term energy production forecasting.
- [INSTANT | How it works](https://www.calibsun.com/services-instant-nowcasting/how-it-works/): INSTANT addresses very short term forecasting needs by combining a purpose-built on-site sensor network with sky images & on site data processed in real time. Built around a network of sky imagers equipped with fisheye lenses and tailored integrated hardware, the system continuously captures images of the entire daytime sky. By processing the images , 
- [Services | INSTANT](https://www.calibsun.com/services-instant-nowcasting/): INSTANT is the industry's first nowcasting solution combining a dedicated on-site network of sky imagers and pyranometers providing data input in real time to a unique machine learning algorithm delivering solar irradiance and power forecast within a 1-minute time frame.
- [NEXT | How it works](https://www.calibsun.com/next-solar-forecast/how-it-works/): Monitoring sensors typically available on-site provide highly valuable insights into the real-time status of the system with much greater precision. CalibSun’s forecasting algorithm is able to integrate these measurements to dynamically adjust forecasts based on actual data, reducing forecast errors, especially when other data sources fail to anticipate short-term variability accurately.
- [NEXT | Demo dashboard](https://www.calibsun.com/next-solar-forecast/next-dashboard-2/): Ensure optimal operations with our real-time system monitoring. This component provides an immediate overview of your data pipeline health, displaying the exact status of data feeds, recent site measurements, and the latest forecast computations. Paired with our live probabilistic forecasting chart, operators can visualize the expected deterministic yield alongside comprehensive confidence intervals, ranging from P05 to P95 for the current day. This visibility allows energy managers to instantly assess the current operational state and anticipate potential variations in solar generation due to incoming weather volatility, ensuring highly reliable intra-day grid balancing and dispatch decisions.
- [Services | NEXT](https://www.calibsun.com/next-solar-forecast/): NEXT combines numerical weather prediction, satellite solar irradiance, and real time on-site data delivering intraday and day-ahead solar forecast  calibrated to your plant.
- [Expertise | Weather Data](https://www.calibsun.com/solar-data/weather-data/): The accuracy of a PV forecasting chain depends directly on the types of data collected, their spatial and temporal resolution, the period covered by historical weather data, and the ability to capture severe weather events that drive sharp variations in photovoltaic generation. 
- [Expertise | Data Quality check](https://www.calibsun.com/quality-check/): On a PV plant, data integrity directly conditions every downstream process: solar and power forecasting, performance monitoring and asset management, and solar resource assessment. A pyranometer reading affected by soiling, frost, or misalignment does not produce an obvious error signal (sensor data continues to arrive, timestamps are valid, values appear plausible). Without a structured quality check process, corrupted measurements propagate silently into machine learning algorithms and monitoring systems, degrading data quality and energy production estimates.
- [Expertise | Spacialized GHI & GTI](https://www.calibsun.com/solar-irradiance/spacialized-ghi-gti/): On utility-scale photovoltaic plants above 50 MWp, a single pyranometer cannot represent the solar radiation reaching the modules. As footprints scale from hundreds of megawatts to several gigawatts, irradiance becomes spatially heterogeneous across the land surface.
- [Expertise | On-site solar data](https://www.calibsun.com/solar-data/on-site-solar-expertise/): On-site solar data refers to all ground-based measurements collected directly at a photovoltaic power plant (irradiance, power output, temperature, wind) to monitor real weather conditions in real time. For solar power forecasting, these in situ measurements are not a secondary input: they are the primary source of truth that satellite imagery and numerical weather prediction (NWP) models cannot replace at short forecast horizons. For IPPs, aggregators, and grid operators managing imbalance exposure and DSM penalties, the quality of onsite measurements directly conditions forecast accuracy, curtailment detection, and intraday power forecast reliability. On-site solar data enables model recalibration against actual plant behavior, spatial irradiance mapping across large utility-scale sites, and real-time state estimation: three capabilities that satellite-derived irradiance products and NWP alone cannot deliver.
- [Expertise | Solar expertise](https://www.calibsun.com/solar-irradiance/): At CalibSun, this is precisely the challenge we've been solving thanks to our photovoltaic engineering inherited from Solaïs, a pioneering PV engineering consultancy founded in 2008. Our solutions are backed by robust academic research, developed in partnership with a key contributor to the International Energy Agency (IEA) specializing in solar irradiance, meteorology, and data. Driven by a deep commitment to R&D, we actively advance the science of solar energy through ongoing research, peer-reviewed publications, and contributions to international conferences.
- [Expertise | Probabilistic forecast](https://www.calibsun.com/solar-irradiance/probabilistic-forecast/): Probabilistic solar power forecasting estimates the range of possible solar energy production outcomes rather than a single expected value. A deterministic forecasting model delivers one number per timestep (Q50). A probabilistic forecast provides a full distribution typically expressed through quantiles from Q05 to Q95. It quantifies the forecast uncertainty attached to each prediction of photovoltaic power output. This distinction is becoming structural for IPPs, energy traders, aggregators and grid operators, who must arbitrate between solar power generation scenarios, manage imbalance penalties on the spot and intraday electricity markets, and optimize dispatch on solar assets whose power output remains inherently variable under changing weather conditions.
- [Expertise | Data sovereignty](https://www.calibsun.com/solar-data/sovereignty/): As solar energy assets scale globally, data sovereignty and data security has become a core operational requirement for IPPs, utilities, and grid operators. The concept defines where energy data is collected, who controls it, how long it is retained, and under which legal requirements it is processed. 
- [Expertise | Data security](https://www.calibsun.com/solar-data/security/): Solar forecasting services process sensitive operational data from photovoltaic plants ( on-site measurements, production telemetry, and irradiance records from pyranometers and sky imagers). For IPPs, utilities, and large industrial energy companies, entrusting this data to a third-party provider requires clear, verifiable cybersecurity guarantees and comprehensive security measures. Protecting sensitive data, preventing unauthorized access, and maintaining the integrity and availability of forecasting services are not optional considerations, they are core operational requirements.
- [Expertise | Data science](https://www.calibsun.com/solar-data/): Data science is the discipline that covers three tightly linked pillars: the algorithms that transform raw inputs into forecasts, the data architecture that governs where information is collected, processed and stored, and the security framework that protects it at every step.
- [Market | Trading & aggregation](https://www.calibsun.com/solar-energy-trading/): CalibSun directly addresses the core risk in solar energy trading: production uncertainty. Through its probabilistic solar power forecasting service NEXT and nowcasting from 1-minute resolution with INSTANT, CalibSun gives traders and aggregators a precise, real-time view of expected solar energy production across their entire portfolio. By accounting for cloud cover dynamics, this level of accuracy enables companies to reduce imbalance costs, optimize sales strategies on spot and forward markets, and navigate the challenges of variable solar energy generation with confidence.
- [Market | Solar Energy Producers](https://www.calibsun.com/solar-energy-producers/): To limit the financial penalties associated with the discrepancy between forecasted and real power generation, solar energy producers need reliable D+1 and intra-day forecasts. By combining meteorological models, high spatial resolution satellite images and real-time data from existing sensors on-site, it is possible to obtain a more accurate view of future solar electricity generation.
- [Blog](https://www.calibsun.com/blog/): Technical articles and market analysis on solar power forecasting, nowcasting and PV asset data, written by the CalibSun team.
- [Press & Media](https://www.calibsun.com/newspapers/): CalibSun is a spin-off of Solaïs, a solar engineering consulting firm with over 18 years of expertise in the photovoltaic sector, which allows us to have invaluable practical knowledge of PV financing, development and operations.
- [About us](https://www.calibsun.com/about-calibsun/): CalibSun is a spin-off of Solaïs, a solar engineering company founded in 2008. Our PV field expertise, combined with cutting-edge research with a leading contributor to the International Energy Agency, makes us excel at integrating and valorizing on-site data in our services.
- [Contact](https://www.calibsun.com/contact/): contact@calibsun.com
- [Cookie Policy](https://www.calibsun.com/cookie-policy/): This policy on cookies allows you to learn more about the origin and use of navigation information collected when visiting our Site and the choices you have concerning these cookies.
- [Legal Notice](https://www.calibsun.com/legal-notice/): The calibsun.com website is regularly updated by CALIBSUN. Similarly, the legal notices may be modified at any time: they are nonetheless binding on the user, who is invited to refer to them as often as possible in order to review them.
- [Homepage](https://www.calibsun.com/): CalibSun delivers high-precision solar forecasts to help IPPs, utilities, and traders boost profits and reduce penalties. Our on-site data models ensure reliable performance even in the most extreme climates.

## Cas d'usages
- [Amarenco Group](https://www.calibsun.com/cas-dusage/amarenco-use-case/): The satellite was setting the debt terms. One year of on-site measurement raised the resource by 1.5% and narrowed the P90 to P50 gap on a 100 MWp project.
- [Loulo](https://www.calibsun.com/cas-dusage/loulo/): Solar without a battery. Second-scale forecasting let the Loulo gold mine in Mali triple its PV to 72 MWp on a heavy fuel oil grid, and avoid 15.6 Ml of fuel.

## Scientific publications
- [On the optimal selection of meteorological variables as inputs to machine learning models for solar irradiance forecasting](https://www.calibsun.com/sctf-publications/on-the-optimal-selection-of-meteorological-variables-as-inputs-to-machine-learning-models-for-solar-irradiance-forecasting/)
- [Review of Satellite-based Surface Solar Irradiation Databases for the Engineering, the Financing and the Operating of Photovoltaic Systems](https://www.calibsun.com/sctf-publications/review-of-satellite-based-surface-solar-irradiation-databases-for-the-engineering-the-financing-and-the-operating-of-photovoltaic-systems/)
- [An Integrated Approach for Value-Driven Energy Forecasting and Data-Informed Decision-Making: Application to Renewable Energy Trading](https://www.calibsun.com/sctf-publications/an-integrated-approach-for-value-driven-energy-forecasting-and-data-informed-decision-making-application-to-renewable-energy-trading/)
- [Cleaning Operations Planning Induced by Monitoring and Modelling of Soiling on Photovoltaic Modules](https://www.calibsun.com/sctf-publications/cleaning-operations-planning-induced-by-monitoring-and-modelling-of-soiling-on-photovoltaic-modules/)
- [Towards a New Approach for Practical Economic Performance Evaluation of a Non-Grid Connected Hybrid Energy System Without Storage with Integrated Solar Forecasting](https://www.calibsun.com/sctf-publications/towards-a-new-approach-for-practical-economic-performance-evaluation-of-a-non-grid-connected-hybrid-energy-system-without-storage-with-integrated-solar-forecasting/)
- [Benchmarking of five typical meteorological year datasets dedicated to concentrated-PV systems](https://www.calibsun.com/sctf-publications/benchmarking-of-five-typical-meteorological-year-datasets-dedicated-to-concentrated-pv-systems/)
- [Calibration of Long-Term Estimated Global Horizontal Irradiation by HelioClim-3 Using Short-Term Local Measurement Campaigns: Extending the Results to European and African Sites](https://www.calibsun.com/sctf-publications/calibration-of-long-term-estimated-global-horizontal-irradiation-by-helioclim-3-using-short-term-local-measurement-campaigns-extending-the-results-to-european-and-african-sites/)
- [Characterization of Measurement Campaigns for an Innovative Approach to Calibrating the Estimated Global Horizontal Irradiation Provided by HelioClim-3](https://www.calibsun.com/sctf-publications/characterization-of-measurement-campaigns-for-an-innovative-approach-to-calibrating-the-estimated-global-horizontal-irradiation-provided-by-helioclim-3/)
- [Characterization of Convergence and Robustness of the Kernel Density Mapping Method for Site Adaptation of Global Horizontal Irradiation in Western Europe](https://www.calibsun.com/sctf-publications/characterization-of-convergence-and-robustness-of-the-kernel-density-mapping-method-for-site-adaptation-of-global-horizontal-irradiation-in-western-europe/)
- [Strategies for the Combined Operation of PV/Storage Systems Integrated into Electricity Markets](https://www.calibsun.com/sctf-publications/strategies-for-the-combined-operation-of-pv-storage-systems-integrated-into-electricity-markets/)
- [Combined Operation Strategies of PV – Storage Systems Integrated into Electricity Markets](https://www.calibsun.com/sctf-publications/combined-operation-strategies-of-pv-storage-systems-integrated-into-electricity-markets/)
- [The Sizing of a PV/Battery System Through Stochastic Control and Aggregation of Installations](https://www.calibsun.com/sctf-publications/the-sizing-of-a-pv-battery-system-through-stochastic-control-and-aggregation-of-installations/)
- [Towards a Simple and Robust Probabilistic Analysis of Solar Variability Based on the Probability of Transition Between Sky State Variability Classes](https://www.calibsun.com/sctf-publications/towards-a-simple-and-robust-probabilistic-analysis-of-solar-variability-based-on-the-probability-of-transition-between-sky-state-variability-classes/)
- [A Novel Approach for Seamless Probabilistic Photovoltaic Power Forecasting Covering Multiple Time Frames](https://www.calibsun.com/sctf-publications/a-novel-approach-for-seamless-probabilistic-photovoltaic-power-forecasting-covering-multiple-time-frames/)
- [A New Approach for Probabilistic Solar Forecasting Using Satellite-Based Cloud Motion Vectors](https://www.calibsun.com/sctf-publications/a-new-approach-for-probabilistic-solar-forecasting-using-satellite-based-cloud-motion-vectors/)

## About CalibSun

CalibSun is a French deep-tech company delivering high-precision solar power forecasts for utility-scale PV plants. A 2023 spin-off of Solaïs, a solar engineering firm founded in 2008, it builds on more than fifteen years of research with Mines Paris – PSL. Its forecasts combine numerical weather prediction, satellite imagery and real-time on-site measurements. CalibSun does forecasting, not monitoring: its services serve dispatch, bidding, imbalance management, O&M planning and storage control under uncertainty.

Products (names are never translated):
- NEXT: intraday and day-ahead (24 to 48 hours) solar power forecast, 15-minute resolution (5-minute where required), delivered by REST API. Built on an analog ensemble developed with Mines Paris – PSL, then strengthened by learning from plant data, NWP and satellite imagery. Reaches operational accuracy in about six weeks, against a minimum of three months for other models.
- INSTANT: nowcasting up to 30 minutes ahead at 1-minute resolution, from an on-site network of fisheye sky imagers and pyranometers. Cloud detection range 30 km. Adds a further 20% accuracy gain over NEXT on the shortest horizons and outperforms persistence over the first 30 minutes.
- FUTURE: bankable solar resource assessment (TMY) from a 12-month on-site measurement campaign cross-referenced with ten years of corrected satellite data. Used for financing and BESS sizing.

Key facts:
- In an independent 2026 European benchmark on a European IPP’s production data, NEXT cut forecast error by 46% at 5 minutes and 33% at 15 minutes against the incumbent satellite-based provider.
- In a separate three-month blind benchmark run by a major German IPP across thirty PV sites, CalibSun ranked first of seven forecast providers on nMAE, nRMSE and skill score.
- CalibSun forecasts reduce imbalance penalties by 18% and free more than 500 k$ of cash per GW and per year.
- CalibSun is the forecaster of the world's largest PV plant, Khavda in India (Adani Green Energy, 20 GW of solar capacity under development), selected after a live trial through the 2025 monsoon.
- Real-time data quality check co-developed with Mines Paris – PSL: garbage in, garbage out is prevented before any measurement enters the model.
- Markets served: India (CERC DSM, 15-minute blocks), Brazil, Latin America, United States (ERCOT, CAISO), Europe, China, plus off-grid and behind-the-meter industries (mines, data centres).

Start here:
- Company: https://www.calibsun.com/about-us/
- NEXT: https://www.calibsun.com/next-solar-forecast/
- INSTANT: https://www.calibsun.com/services-instant-nowcasting/
- FUTURE: https://www.calibsun.com/future-solar-resource-assessment/
- Benchmark: https://www.calibsun.com/independent-benchmark-intraday-solar-forecast/
- India: https://www.calibsun.com/india-solar-energy/
- API: https://www.calibsun.com/api/
- Contact: https://www.calibsun.com/contact/ (contact@calibsun.com)

Languages: English (source), French /fr/, Portuguese /pt/, Spanish /es/, Chinese /zh/.