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What is Solcast?

Solcast is an innovative cloud-based platform that provides accurate and trustworthy historical, current, and forecasted solar irradiance, weather, and photovoltaic (PV) power information specifically designed for the renewable energy sector, utilizing a flexible REST API along with various developer tools. By continuously tracking real-time satellite cloud coverage and combining it with advanced weather forecasting models, Solcast is capable of delivering solar irradiance forecasts that extend from five minutes to 14 days in advance, demonstrating remarkable spatial and temporal precision, while also supplying historical data that dates back to 2007, which is essential for evaluating performance. The system supports multiple PV power forecasting models, including Rooftop PV, Advanced PV, and Premium PV, which are designed to assess both the actual and expected output of solar installations of any scale. Its API offers data in accessible formats such as JSON or CSV, allowing for straightforward integration with energy management software, analytical tools, or customized workflows. Furthermore, developers have the option to employ native HTTP clients or software development kits (SDKs) like Python and C#, complete with example codes, to effortlessly retrieve and utilize this valuable data. This all-encompassing methodology not only enhances the efficiency of solar energy operations but also serves as a critical asset for stakeholders aiming to maximize their renewable energy investments. Consequently, Solcast stands out as an essential tool for those seeking to leverage solar energy to its fullest potential.

What is Amazon Forecast?

Amazon Forecast is an all-encompassing service that employs machine learning to deliver highly accurate forecasting results. In the modern business environment, companies turn to a diverse array of tools, ranging from simple spreadsheets to sophisticated financial planning software, in their efforts to predict future events, such as product demand, resource management, and financial outcomes accurately. These forecasting techniques often rely on historical datasets, referred to as time series data, to inform their predictions. For example, a forecasting application might project the future demand for raincoats based solely on previous sales data, under the assumption that upcoming trends will follow the same trajectory as the past. Nonetheless, this approach can fall short when dealing with large datasets that display unpredictable variations, and it often finds it difficult to accommodate changing data series—such as pricing strategies, promotional offers, website traffic, and workforce numbers—alongside relevant independent factors like product attributes and store locations. As a result, organizations may struggle to generate dependable forecasts in ever-changing circumstances influenced by numerous variables impacting demand and resource allocation. This challenge highlights the importance of adopting advanced forecasting solutions that can adapt to complexity and provide more reliable insights.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon S3
C#
Google Sheets
JSON
Microsoft Excel
PV*SOL
PVsyst
Python
System Advisor Model (SAM)

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon S3
C#
Google Sheets
JSON
Microsoft Excel
PV*SOL
PVsyst
Python
System Advisor Model (SAM)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Solcast

Date Founded

2016

Company Location

Australia

Company Website

solcast.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/forecast/

Categories and Features

Solar

2D/3D Drawing
Analytics / Reporting
Bill of Materials
CMMS
Estimating
Field Service Management
PV Animation
Permitting
Preventive Maintenance
Proposal Management
Solar Design
Solar Maintenance Management
Solar Monitoring
Solar Project Management
Solar Sales / CRM

Categories and Features

Sales Forecasting

Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis

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