R Z Wang
Biographic Data
| ID | 6933520 |
|---|---|
| NAME | R Z Wang |
| GIVEN NAMES | R Z |
| FAMILY NAME | Wang |
| SIGNATURE | WANG R Z |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0003-3586-5728 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
D-printed multiscale-ordered hierarchical frameworks for rapid atmospheric water harvesting
Empirical Evaluation of a CNN-ResNet-RF Hybrid Model for Occupancy Rate Prediction in Passive Ultra-Low-Energy Buildings
Accurate occupancy information is critical for optimizing energy efficiency in buildings. Hybrid machine learning models have demonstrated great potential in previous studies; however, their application in passive ultra-low-energy buildings remains underexplored. This study conducts an empirical evaluation of real-time occupancy rate prediction using a CNN-ResNet-RF hybrid model based on multi-source environmental and behavioral data from a passi…
Exploring the driving mechanism of public participation in urban regeneration projects
A two-stage planning method for design and dispatch of distributed energy networks considering multiple energy trading
Feasibility study of an off-grid container unit for industrial construction
No prominent works on this page.
Feasibility study of an off-grid container unit for industrial construction
A two-stage planning method for design and dispatch of distributed energy networks considering multiple energy trading
D-printed multiscale-ordered hierarchical frameworks for rapid atmospheric water harvesting
Empirical Evaluation of a CNN-ResNet-RF Hybrid Model for Occupancy Rate Prediction in Passive Ultra-Low-Energy Buildings
Accurate occupancy information is critical for optimizing energy efficiency in buildings. Hybrid machine learning models have demonstrated great potential in previous studies; however, their application in passive ultra-low-energy buildings remains underexplored. This study conducts an empirical evaluation of real-time occupancy rate prediction using a CNN-ResNet-RF hybrid model based on multi-source environmental and behavioral data from a passi…
Exploring the driving mechanism of public participation in urban regeneration projects
Building Energy and Comfort Optimization (2 works) · Computer Science (2 works) · Engineering (2 works) · Smart Grid Energy Management (2 works) · Adsorption and Cooling Systems (1 work) · Aerogels and thermal insulation (1 work) · Air conditioning (1 work) · Air Quality Monitoring and Forecasting (1 work) · Architectural engineering (1 work) · Artificial neural network (1 work)