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What is Renewcast?

Renewcast, an Italian company, specializes in artificial intelligence-based forecasting for renewable energy, with a particular emphasis on wind power generation. Founded in 2020 by a team boasting over a hundred years of combined experience in energy and IT, this innovative firm offers a Software as a Service (SaaS) platform that provides highly accurate daily and intra-day wind energy production forecasts. Utilizing advanced proprietary deep learning algorithms and digital twin technology, Renewcast achieves a remarkable forecasting accuracy with errors as low as 7% normalized Mean Absolute Error (nMAE), which notably surpasses the global industry benchmarks. This level of precision enables energy operators to reduce global imbalance costs by up to 30%, enhancing their operational efficiency. Renewcast's services include a variety of forecasting periods—from intra-day to day-ahead, as well as 48-hour and medium-term forecasts lasting up to 15 days, with hourly updates available. Clients benefit from seamless access to these forecasts through a direct API, and they can tailor parametric reports using a user-friendly interface, emphasizing the platform's accessibility. As a result, Renewcast is positioned at the forefront of transforming the management and application of wind energy forecasts within the sector, setting a new standard for accuracy and user engagement in energy forecasting.

What is AMMP?

AMMP is a cloud-based, vendor-agnostic platform crafted for managing and supervising renewable energy portfolios that include solar, battery storage, hybrid systems, wind farms, and generator locations. By consolidating equipment data into detailed site and portfolio dashboards, it leverages cloud API connections with a variety of manufacturers and includes an edge datalogger for local data collection when required. Teams utilize this platform for real-time surveillance, performance indicator evaluations, alert handling, ticket management, performance report generation, energy savings tracking, and tariff oversight alongside Power Purchase Agreements (PPAs), while also granting access to investor or customer portals. The launch of AMMP AI introduces users to Ray, an AI assistant that assesses portfolio performance, pinpoints and ranks operational issues, provides data-driven answers to questions, and aids in report creation. Users can effortlessly engage with AMMP OS, Microsoft Teams, or Slack, and the REST Data API along with the Model Context Protocol server provides programmatic and assistant-led access to portfolio information. This adaptability ensures that teams remain well-informed and agile amid the rapidly changing landscape of renewable energy. Furthermore, the continued evolution of AMMP's features promises to enhance operational efficiency and strategic decision-making for its users.

Media

Media

No images available

Integrations Supported

Microsoft Azure

Integrations Supported

Claude
Cursor
Microsoft Copilot
Microsoft Power BI
Microsoft Teams
Model Context Protocol (MCP)
OpenAI Codex
Slack

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

AMMP AI and AMMP OS Platform are available separately or together as annual subscriptions priced per MWp of monitored capacity. A minimum annual fee applies. Volume, multi-module and multi-year discounts are available. The MCP server and Data API are add-ons.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Renewcast

Date Founded

2020

Company Location

Italy

Company Website

renewcast.com

Company Facts

Organization Name

AMMP Technologies

Date Founded

2016

Company Location

Netherlands

Company Website

www.ammp.io

Categories and Features

Energy Management

Not specified

Categories and Features

Energy Management

Not specified

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