SmartGrid AI: enhancing home energy management with blockchain and deep learning for renewable integration

Document Type

Article

Source of Publication

Neural Computing and Applications

Publication Date

1-1-2025

Abstract

SmartGrid AI revolutionizes home energy management by combining blockchain technology, deep learning, and vehicle-to-home (V2H) technology. It uses neural network-based Q-learning algorithms refined by advanced data preprocessing techniques such as normalization, standardization, and missing value imputation. These preprocessing steps ensure high-quality, accurate data for appliance planning and efficient energy storage management. V2H technology enables efficient energy transfer between electric vehicles and homes, optimizing energy consumption and reducing waste. Blockchain technology is used to secure and verify transactions, ensuring that all data exchanges are transparent and reliable. Real-time data from photovoltaic systems is integrated to improve the accuracy of energy management decisions. Using data from a Tunisian weather database, SmartGrid AI enables a significant 23% reduction in monthly electricity costs compared to traditional methods such as integer linear programming. The system’s advanced capabilities are demonstrated by its robust AI models, comprehensive performance metrics, efficient simulation models, and seamless integration of renewable energy sources. SmartGrid AI provides a cutting-edge solution for efficient and cost-effective home energy management.

ISSN

0941-0643

Publisher

Springer Science and Business Media LLC

Disciplines

Computer Sciences

Keywords

Blockchain technology, Deep learning, Home energy management, Reinforcement learning, Renewable energy, Smart home automation

Scopus ID

05002357457

Indexed in Scopus

yes

Open Access

no

Link to Full Text

Share

COinS