Tag: smart buildings

A neural network predictive control framework that jointly optimizes thermal comfort, daylighting, energy use, and life-cycle cost cut a school ...

An interdisciplinary research team has developed ARAM, a threshold model explaining when occupants endorse, reject, refrain from or repurpose adaptations ...

Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...

Binghamton University researchers have developed a printable wallpaper containing moist-electric generators that harvest indoor humidity to produce electricity for low-power ...

A sweeping scoping review of 43 studies distills six core themes and 29 sub-themes that define the standards and indicators ...

Researchers at Tanta University show that a decentralized, coupling-aware SARSA reinforcement learning controller cut simulated HVAC energy use in a ...

Researchers have 3D-printed an interdigitated cement-based supercapacitor that stores energy efficiently while matching the compressive strength of commercial concrete, bringing ...

Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...