Best Solar Software for Microsoft Excel

Find and compare the best Solar software for Microsoft Excel in 2026

Use the comparison tool below to compare the top Solar software for Microsoft Excel on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    RatedPower Reviews
    RatedPower, a part of Enverus, is a powerful SaaS platform that simplifies the development of utility-scale solar, BESS, and hybrid energy systems. It guides users through every phase—from site identification to final engineering design—making it a go-to solution for developers, engineers, and analysts in renewables. With RatedPower, users can assess and filter viable land using advanced geospatial data, including energy pricing and grid infrastructure. It supports topographic analysis and helps design solar layouts that consider terrain, interconnection options, and engineering standards. The platform generates bankable energy yield reports, SLDs, and Gen-Tie documentation essential for permitting and financing. For battery energy storage projects, RatedPower enables both standalone and integrated system designs. Tools for sizing and layout optimization help ensure cost-effective and technically sound configurations. During detailed design, teams can simulate and compare multiple configurations based on GCR, DC/AC ratios, and cost. RatedPower also enhances collaboration by allowing the export of reports and 3D layouts compatible with tools like PVsyst, ensuring smooth handoffs between teams and stakeholders. It’s a complete, user-friendly solution that accelerates renewable project timelines with precision and collaboration at its core.
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    Solcast Reviews
    Solcast is a cloud-based software designed to deliver precise, reliable historical, current, and predictive solar irradiance, weather, and photovoltaic (PV) power data tailored for renewable energy needs, using a versatile REST API along with developer tools. By monitoring real-time satellite cloud coverage and integrating it with sophisticated weather models, it provides solar irradiance predictions that range from five minutes to 14 days ahead with exceptional spatial and temporal accuracy, in addition to offering historical data spanning from 2007 to a week prior for performance assessment. The platform accommodates various PV power forecasting models, including Rooftop PV, Advanced PV, and Premium PV, which evaluate both actual and anticipated output for solar installations of any size. Its API delivers data in user-friendly JSON or CSV formats, making it easy to integrate with energy management software, analytical platforms, or tailored workflows. Additionally, developers can utilize native HTTP clients or software development kits (SDKs) such as Python and C#, complete with code samples, to seamlessly access and implement this data. This comprehensive approach positions Solcast as a crucial resource for optimizing solar energy operations.
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