AI-Driven Energy Forecasting, Optimization, and Demand Side Management for Consumer Engagement-Reference-Cited by-同舟云学术

AI-Driven Energy Forecasting, Optimization, and Demand Side Management for Consumer Engagement

Published:2024-03-15 Issue: Volume: Page:112-131
ISSN:2327-039X
Container-title:Advances in Computer and Electrical Engineering
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Author:

Suresh Chalumuru¹,Nyemeesha V.¹,Prasath R.²,Lokeshwaran K.³,Raju K. Ramachandra⁴^ORCID,Boopathi Sampath⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, VNR VJIET, India

2. Department of Computer Science and Engineering, KCG College of Technology, India

3. Department of Computer Science and Engineering (Data Science),Madanapalle Institute of Technology and Science, India

4. Department of Mechanical Engineering, Bannari Amman Institute of Technology, India

5. Mechanical Engineering, Muthayammal Engineering College, Namakkal, India

Abstract

This chapter explores the role of artificial intelligence (AI) in the energy sector, focusing on energy forecasting, optimization, and demand management. It highlights the importance of AI technologies in utilities, grid operators, and consumers. AI-driven models accurately predict energy consumption patterns and demand, and how machine learning algorithms, data analytics, and IoT devices can improve forecasting precision. AI also optimizes energy production and distribution processes, reducing costs, enhancing reliability, and promoting sustainability. It also emphasizes its role in demand side management, focusing on consumer engagement strategies and AI-driven demand response programs.

Publisher

IGI Global

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