Wim Zeiler
Biographic Data
| ID | 9440448 |
|---|---|
| NAME | Wim Zeiler |
| GIVEN NAMES | Wim |
| FAMILY NAME | Zeiler |
| SIGNATURE | ZEILER W |
| AFFILIATIONS | Eindhoven University of Technology |
| ORCID | 0000-0001-5926-3989 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Learnings Networks and Professional Development in Building Energy Management Systems Industry
The energy management systems industry in the built environment is currently an important topic. Buildings use about 40% of the total global energy worldwide. Therefore, the energy management system’s sector is one of the most influential sectors to realize changes and transformation of energy use. New data science technologies used in building energy management systems might not only bring many technical challenges, but also they raise significa…
A bottom-up framework for analysing city-scale energy data using high dimension reduction techniques
Worldwide cities are becoming more sustainable and are being monitored using data collection techniques at various geographical levels. Given the growing volume of data, there is a need to identify challenges associated with the processing, visualization, and analysis of the generated data from an urban scale. This study proposes a framework to investigate the capabilities of dimensionality reduction techniques (t-SNE, and UMAP) applied to city-s…
Demand side flexibility coordination in office buildings
Demand side flexibility
No prominent works on this page.
Demand side flexibility
Demand side flexibility coordination in office buildings
Learnings Networks and Professional Development in Building Energy Management Systems Industry
The energy management systems industry in the built environment is currently an important topic. Buildings use about 40% of the total global energy worldwide. Therefore, the energy management system’s sector is one of the most influential sectors to realize changes and transformation of energy use. New data science technologies used in building energy management systems might not only bring many technical challenges, but also they raise significa…
A bottom-up framework for analysing city-scale energy data using high dimension reduction techniques
Worldwide cities are becoming more sustainable and are being monitored using data collection techniques at various geographical levels. Given the growing volume of data, there is a need to identify challenges associated with the processing, visualization, and analysis of the generated data from an urban scale. This study proposes a framework to investigate the capabilities of dimensionality reduction techniques (t-SNE, and UMAP) applied to city-s…
Computer Science (4 works) · Engineering (4 works) · Architectural engineering (2 works) · Building Energy and Comfort Optimization (2 works) · Business (2 works) · Demand response (2 works) · Electrical engineering (2 works) · Electricity (2 works) · Environmental economics (2 works) · Grid (2 works)