Smart Data Visualization System for a P2P Smart Grid solution

End-user application focused on helping consumers to make decisions and optimize the energy consumption and cost for a long term in a P2P scenario.

Input(s):

• Energy consumption data
• Weather information data
• Daily electric price data

Main feature(s):

• Consumed energy predictions for a long term based on DL algorithms
• Energy cost predictions for a long term based on DL algorithms
• Rule engine providing valuable recommendations based on the above-mentioned predictions to help consumers to make decisions
• Dashboard to visualize all kind of data related to the energy consumption

Output(s):

• Consumed energy predictions for a long term
• Energy cost predictions for a long term
• Recommendations to help consumers to make decisions
• Data visualization

• Energy consumption data need to be updated along the time.
• Access to internet

Maintenance managers in public buildings, house-hold communities, private companies.

Commercial licensing according to the number of users.