Frontiers

An interpretable building air conditioning load forecasting framework using SSA-optimized Bi-LSTM and SHAP analysis

Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and ...
C&EN

Surrogate-Assisted Optimization of Highly Constrained Oil Recovery Processes Using Classification-Based Constraint Modeling

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...
IEEE

Particle Swarm Optimization of Self-Consumption for Solar PV Integrated Buildings

Abstract: Large cities have experienced massive penetration of solar photovoltaic energy systems. This comes along with novel challenges in power control as far as the economy, energy exchange, and ...
IEEE

Air Conditioning Load Forecast Based on LSTM Combining Improved Particle Swarm Algorithm and Attention Mechanism

Abstract: Air-conditioning load forecasting is of great significance for saving building energy consumption and maintaining stable load operation of equipment, so research on air-conditioning load ...
GitHub

Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.

This is repository includes Python3 scripts for smart Building Automation system development during Smart City project. The Smart City project of Häme University of Applied Sciences focuses on ...