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What is TimesFM-3?

TimesFM-3 is an innovative foundation model for time series analysis, distinguished by its capability to deliver highly accurate multivariate forecasts with a single forward pass. With a substantial framework of 330 million parameters, this model has been pre-trained on an extensive dataset comprising both real-world and synthetic time series information, accumulating over 1 trillion time points, which significantly bolsters its effectiveness and zero-shot generalization compared to its predecessors. It excels at simultaneously forecasting multiple coevolving time series while effectively recognizing dependencies that enhance predictive accuracy without necessitating task-specific fine-tuning. Additionally, it is designed to handle various forecasting objectives, including point and quantile predictions, and takes into account both historical covariates and dynamic covariates related to future scenarios, such as planned promotions, holidays, or shifts in weather. Employing a decoder-only transformer architecture, TimesFM-3 adeptly processes sequential data in chunks of 32 time steps, utilizing alternating causal temporal attention and full variate attention to seamlessly weave together patterns across time and interconnected series. As a result, this model serves as a powerful resource for forecasting intricate, time-dependent phenomena across diverse applications, making it a significant advancement in the field of time series forecasting. Its versatility and precision open up new avenues for exploration and application in various domains.

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.

Media

Media

Integrations Supported

C#
Google Sheets
JSON
Microsoft Excel
PVsyst
Python
System Advisor Model (SAM)

Integrations Supported

C#
Google Sheets
JSON
Microsoft Excel
PVsyst
Python
System Advisor Model (SAM)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Google

Date Founded

1998

Company Location

United States

Company Website

research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Company Facts

Organization Name

Solcast

Date Founded

2016

Company Location

Australia

Company Website

solcast.com

Categories and Features

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

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