Pindoriya, NaranNaranPindoriyaKiprakis, AristidesAristidesKiprakisAjay, Choksi KushanChoksi KushanAjaySingh, S. N.S. N.SinghGarg, DineshDineshGargPadmanabhan, DeepakDeepakPadmanabhanThompson, JohnJohnThompson2025-08-312025-08-312018-12-31[9781538650028]10.1109/UPCON.2018.85969792-s2.0-85061629804https://d8.irins.org/handle/IITG2025/23445Growing 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).falseBig data analytic for DSM | Data-Driven Intelligent Energy Management | Integrated energy management | Lot-ICT frameworkConference Paper31 December 201818596979cpConference Proceeding1