Abstract
Growing concern with carbon emission and strong vision to have green environment have forced to adopt the sustainable energy leading to strong interlink between energy and climate. This paper provides the conceptual framework for Data-Driven Intelligent Energy Management (DIEM) system for environmentally sustainable energy access, it is a step to deliver sustainable green energy to the society without any large economic or social reforms through RE integration. It largely deals with efficient energy delivery based on smart interaction of renewable resources through IoT-ICT and power electronic interface to a cognitive grid. It aims at validation of solutions for demand side energy management based on energy data analysis and machine learning algorithms for optimal decision making. This paper also explores the architecture for power and communication exchange to be used for Demand Side Management (DSM) and provides the computational framework for Intelligent Energy Management Tool (IEMT).
Original language | English |
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Title of host publication | 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2018 |
Editors | Tomohisa Wada, Divakar Yadav, A. N. Tiwari, Brijesh Kumar |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538650028 |
DOIs | |
Publication status | Published - 31 Dec 2018 |
Event | 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2018 - Gorakhpur, India Duration: 02 Nov 2018 → 04 Nov 2018 |
Conference
Conference | 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2018 |
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Country | India |
City | Gorakhpur |
Period | 02/11/2018 → 04/11/2018 |
Keywords
- Big data analytic for DSM
- Data-Driven Intelligent Energy Management
- Integrated energy management
- Lot-ICT framework
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Instrumentation