Energy Consumption Gamified - Greenely Feasibility Study
Sector: Power Generation (CCGT) • Location: Sweden
Source: EU Funding & Tenders Portal
Greenely is a mobile application that provides a visual representation of energy usage, translating raw energy data from smart meters into algorithmic visuals of consumption patterns by hour, day or month; promoting sustainable energy consumption through behavioural data analysis and gamification. Energy Behaviour Gamified: In the last few years, more than 100 million smart meters have been insta
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Greenely is a mobile application that provides a visual representation of energy usage, translating raw energy data from smart meters into algorithmic visuals of consumption patterns by hour, day or month; promoting sustainable energy consumption through behavioural data analysis and gamification. Energy Behaviour Gamified: In the last few years, more than 100 million smart meters have been installed in the EU, enabling energy data analysis for energy efficiency, allowing households to access new information to understand their consumption. Greenely is an IT SME disrupting energy efficiency by innovating sustainable energy practices by consumers in the retail market, bringing long-overdue technological advances to the power sector, and valuable data on energy behaviour to researchers. Without Greenely, households are often requested to pay electricity companies to access analysis of their energy consumption data by buying and installing a specific type of hardware to monitor consumption. Greenely is free for consumers and has developed algorithms that can translate the raw energy data and present it in a modern way that is available at any time. This feasibility study will address the users, technology, market, IPR, commercialisation strategy, and partners/stakeholders. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
