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ease
features
design
support

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Description

Kraken serves as a comprehensive, intelligent utility operating system aimed at assisting contemporary utilities and infrastructure providers in transitioning from outdated technology to a unified, cloud-based platform. This innovative system automates and seamlessly integrates the entire energy supply chain, encompassing everything from managing customer relations and billing to optimizing assets and executing field services for flexible distributed resources such as electric vehicles, heat pumps, solar panels, and batteries. By leveraging cutting-edge data analytics, machine learning techniques, and utility-grade artificial intelligence, Kraken enhances customer service, minimizes operational expenses, accelerates the development of new products, and delivers real-time insights into operations, all while facilitating the migration from legacy systems through established methodologies. Its modular suite offers a variety of tools tailored for managing residential and commercial and industrial customers, as well as enabling no-code tariff and product configurations, improved field operations, and effective flexibility management aimed at optimizing energy resources, logistics, and workforce planning. Ultimately, Kraken is designed to empower utilities to become more efficient and responsive in a rapidly changing energy landscape, ensuring they can meet the evolving demands of their customers.

Description

The MAISY databases for both commercial and residential utility energy consumption were first launched in 1995, encompassing details on 10,000 utility clients across the United States. Since then, these databases have undergone extensive annual updates, culminating in the 2020 MAISY databases, which now feature up-to-date energy consumption and hourly load profiles for over 7 million individual utility customers in the US. Each record within the databases contains comprehensive information regarding the building, equipment, operational details, occupant profiles, and energy usage of the respective utility customers. The development of these hourly load profile databases has been informed by a wide range of data sources, including utility companies, industry associations, governmental data, as well as proprietary surveys conducted by Jackson Associates and in-depth engineering assessments of appliances. Importantly, these databases represent a statistically valid cross-section of both residential and commercial utility customers nationwide, ensuring their reliability and usefulness for energy analysis and planning. Their extensive scope allows for a more informed understanding of energy usage trends across diverse sectors.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kraken

Country

United Kingdom

Website

kraken.tech/

Vendor Details

Company Name

Jackson Associates

Founded

1995

Country

United States

Website

www.maisy.com/maisydatabases.htm

Product Features

Utility Management Systems

Billing & Invoicing
Cable
Customer Management
Demand Planning
Electricity
Natural Gas
Plant Management
Service Call Management
Trash
Water
Work Order Management
Workforce Management

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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