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Electricity Load Demand Prediction for Microgrid Energy Management System Using Hybrid Adaptive Barnacle‐Mating Optimizer with Artificial Neural Network Algorithm
Exploring the application of artificial intelligence and machine learning tools in the removal of emerging pollutants from industrial effluents by biochar-based catalysts: current applications and future prospects
Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks
Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events
TURBO-AI: a transformative utility resource balancing optimization algorithm for real-time energy management in distribution networks with high penetration of non-linear industrial loads
Edge-Collaborative Intelligent Monitoring System for Distribution IoT: An Integrated Design for Multi-Source Data Processing and Bayesian Fault Early Warning
Hybrid Model Combined Fuzzy Multi-Objective Decision Making with Feed Forward Neural Network (F-MODM-FFNN) For Very Short-Term Load Forecasting Based on Weather Data
Forecasting Energy Demand Using Conditional Random Field and Convolution Neural Network
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