A SMART GRID ENHANCED WITH ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY FOR IMPROVED ENERGY MANAGEMENT

Rishabh Arora; Sriram Yadav; Sindhu T N

A SMART GRID ENHANCED WITH ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY FOR IMPROVED ENERGY MANAGEMENT

Authors

Rishabh Arora K.R. Mangalam University, Gurugram, Haryana, INDIA
Sriram Yadav Sandip University (Sijoul)
Sindhu T N Sri Siddhartha Academy of Higher Education

Keywords:

Engineering, Smart Grid, Blockchain, Technology

Abstract

Renewable energy and other clean distributed generation are expanding, reducing carbon and other air pollution. Decentralized energy sources and rising electricity demand exacerbate grid instability. Peak electricity demand, grid demand and generation balance, and cost reduction depend on electrical load forecasting. These methods also control peak electrical consumption. This thesis uses short-term electrical demand forecasting to improve grid resiliency, power quality, and volatility. Yet, electrical data forecasting is problematic since the data are neither steady or linear. It's complicated. Artificial intelligence-based load forecasting systems are more accurate since they use past load data. This thesis models and simulates Jajpur, Orissa, in India. The city's historical electrical and meteorological statistics are considered. This data modeling will allow the network to estimate energy consumption and peak load on the Jajpur power grid one day in advance. This work improves energy management, grid stability, and peak demand regulation.

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A SMART GRID ENHANCED WITH ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY FOR IMPROVED ENERGY MANAGEMENT