Paper Title: BiLSTM with Blockchain Integration for Enhanced Smart Grid Energy Consumption Forecasting
Conference Name: The 35th Joint Conference on Communications and Information (JCCI 2025)
Abstract: This study integrates BiLSTM time-series forecasting with blockchain to enhance transparency and security, using Ethereum smart contracts for trustless execution. The BiLSTM approach achieves 94.3\% accuracy, outperforming traditional LSTM (92.7\%). Blockchain ensures stable latency, throughput, and efficient smart contract execution, optimizing energy management by providing accurate forecasts and secure, automated energy distribution with dynamic pricing.