Solar and wind predictions using evolution differentiated modular and LSTM long-term modelling based on pattern correlations DOI Creative Commons
Ladislav Zjavka

Research in Mathematics, Год журнала: 2025, Номер 12(1)

Опубликована: Март 27, 2025

Язык: Английский

Sustainable mobility in India: advancing domestic production in the electric vehicle sector DOI Creative Commons
Ratchagaraja Dhairiyasamy,

Deepika Gabiriel

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

1

Adaptive Machine Learning for Automatic Load Optimization in Connected Smart Green Townhouses DOI Creative Commons
Seyed Morteza Moghimi, T. Aaron Gulliver,

T. Ilamparithi

и другие.

Algorithms, Год журнала: 2025, Номер 18(3), С. 132 - 132

Опубликована: Март 2, 2025

This paper presents an adaptive Machine Learning (ML)-based framework for automatic load optimization in Connected Smart Green Townhouses (CSGTs) The system dynamically optimizes consumption and transitions between grid-connected island modes. Automatic mode reduce the need manual changes, ensuring reliable operation. Actual occupancy, demand, weather, energy price data are used to manage loads which improves efficiency, cost savings, sustainability. An is employed that combines processing ML. A hybrid Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN) model analyze time series spatial data. Multi-Objective Particle Swarm Optimization (MOPSO) balance costs, carbon emissions, efficiency. results obtained show a 3–5% improvement efficiency 10–12% mode, as well 4–6% reduction emissions.

Язык: Английский

Процитировано

0

Solar and wind predictions using evolution differentiated modular and LSTM long-term modelling based on pattern correlations DOI Creative Commons
Ladislav Zjavka

Research in Mathematics, Год журнала: 2025, Номер 12(1)

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

0