| Ref.No: | 62411500 |
| Start date: | 23.05.2023 |
| End date: | 22.05.2026 |
| Approval date: | 10.02.2023 |
| Department: | MECHANICAL ENGINEERING |
| Sector: | MECHANICAL DESIGN & AUTOMATIC CONTROL |
| Financier: | SSA BIOTEXNIKH KAI TEXNIKH YPSHLWN TEXNOLOGIWN IDIWTIKH EPIXEIRHSH PAROXHS YPHRESIWN ASFALEIAS ANWN |
| Budget: | 500.000,00 € |
| Public key: | ΨΒΘΖ46ΨΖΣ4-7Θ4 |
| Scientific Responsible: | Prof. ANTONIADIS |
| Email: | antogian@central.ntua.gr |
| Description: | GREEN INTELLIGENCE AIMS TO EXPLOIT THE MOST ADVANCED DEVELOPMENTS IN THE DOMAIN OF INTELLIGENT DATA PROCESSING IN ORDER TO PROVIDE A DECISIVE SUPPORT FOR THE EFFICIENT DEVELOPMENT OF RENEWABLE ENERGY SOURCES AND THEIR INTEGRATION IN THE EXISTING INFRASTRUCTURE. THE PRIMARY BJECTIVE OF THE PROPOSED RESEARCH ARE NOVEL DATA PROCESSING APPROACHES IN TWO DIRECTIONS: A) “EDGE NTELLIGENCE” AIMED AT LOCAL AND AUTONOMOUS AUTOMATED SIGNAL AND DATA PROCESSING AND MINING, REDICTIVE ANALYTICS AND VISUALIZATION AT THE SERVICE OF DISTRIBUTED AND REMOTE APPLICATIONS. B) “REAL-IME EXTREME DATA PROCESSING” OVER EXTREMELY LARGE NUMBERS OF HIGH-VOLUME STREAMS OF POSSIBLY NOISY, POSSIBLY INCOMPLETE DATA, IN THE DIRECTION OF THE SAFE AND RESILIENT OPERATION OF LARGE- SCALE OMPLEX SYSTEMS. GREEN INTELLIGENCE ALSO FORESEES ONE OR MORE POSSIBLE PILOT APPLICATIONS, IN THE DIRECTIONS OF MONITORING LARGE SCALE RENEWABLE ENERGY INSTALLATIONS, DEMAND SITE MANAGEMENT OF DOMESTIC CONSUMERS, EFFICIENT MONITORING OF VEHICLE FLEETS (ELECTRIC, MARINE, ETC) |
