Sep 4, 2023 · This paper presents a system for predicting power utilization and scheduling household appliances in smart homes.
This paper presents a system for predicting power utilization and scheduling household appliances in smart homes. The system utilizes a combination of Grey Wolf ...
Oct 23, 2023 · This paper presents a self-learning EMS for smart homes which predicts the energy utilization by house- hold appliances. The proposed model ...
Sep 18, 2024 · This paper innovatively proposes a forecasting model that uniquely integrates Variational Mode Decomposition (VMD), Grey Wolf Optimization (GWO) ...
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Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption ... Predicting the Household Power Consumption Using CNN-LSTM Hybrid ...
2022. Grey Wolf Optimization Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment. T Singh, A Solanki, SK Sharma, NZ ...
This review paper explores the merits and demerits of using machine learning techniques for energy optimization in smart homes. Smart homes are becoming ...
In this research, we propose an enhanced Grey Wolf Optimizer (GWO) for designing the evolving Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) ...
In this work, an hourly wind speed prediction with an artificial neural network optimized by a metaheuristics approach is conducted.
ABSTRACT In this research, we propose an enhanced Grey Wolf Optimizer (GWO) for designing the evolving Convolutional Neural Network-Long Short-Term Memory ...
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