Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

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Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Chattez avec Graph Search

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows

The Earthquake Risk Model of Switzerland, ERM-CH23

High-order geometric integrators for the variational Gaussian wavepacket dynamics and application to vibronic spectra at finite temperature

Renewable energy integration and waste heat valorization in aluminum remelting for co-producing kerosene and methanol

Electrical and Optical Manifestations of Flat Band Physics in Van der Waals Materials

Solar-assisted clean steam generator, a cleaner production approach for sustainable healthcare facilities

An area efficient inductorless super-regenerative receiver front-end for biomedical implant devices

Beyond the average consumer: Mapping the potential of demand-side management among patterns of appliance usage

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Self-catalysed frontal polymerisation enables fast and low-energy processing of fibre reinforced polymer composites

Data and scripts for the RaFSIP scheme

Performance of energy piles foundation in hot-dominated climate: A case study in Dubai

Robust machine learning for neuroscientific inference

Is the powersave governor really saving power?

In-Sensor Passive Speech Classification with Phononic Metamaterials

Iterative removal of sources to model the turbulent electromotive force

Climate risk assessment of buildings: An analysis of operating emissions of commercial offices in Australia

Calibrating and validating the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) urban cooling model: case studies in France and the United States

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection