Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts

By Jimeno A. Fonseca, Arno Schlueter. 2015

316 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/e989ab8e7a1d00b2b5e33afd41db14e78dc6175a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Martina Ferrando
2. Tianzhen Hong
3. Yixing Chen
4. Emanuele Naboni
5. Francesco Causone

In Environmental Engineering

1. A. Perera

In Transportation

1. Martina Ferrando
2. Tianzhen Hong
3. Yixing Chen
4. Francesco Causone

Citations in the corpus

• A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities (2019, methodology): “The City Energy Analyst (CEA) model [158] was developed, with the scope of determining the spatiotemporal variability of the energy services in the future.”
• Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches (2020, background): “However, in recent years, a few preliminary studies [98,99] pointed out that, when peak loads are important, probabilistic, space-based and person-based models must be preferred to deterministic and average value models to have a higher temporal resolution.”