Modeling hourly electricity dynamics for policy making in long-term scenarios
By A. Pina, C. Silva, P. Ferrão. 2011
120 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/55d7a83faa46238f4b9b73f8af01dc24ab08b9a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Iain Staffell
- T. Bossmann
- D. Moser
- Stefan Pfenninger
- James Keirstead
- Matteo Giacomo Prina
- W. Sparber
- Giampaolo Manzolini
Citations in the corpus
- The Shape of Future Electricity Demand: Exploring Load Curves in 2050s Germany and Britain (2015, background): “determine user specific load profiles of representative customer groups, within the industry, tertiary and residential sector, based on empirical data [44], [45].”
- Energy systems modeling for twenty-first century energy challenges (2014, methodology): “Pina et al. (2011) build a TIMES model with 288 time slices: four seasons, three days per season, and 24 hours per day.”
- Impact of the level of temporal and operational detail in energy-system planning models (2016, background): “, electricity demand in peak periods during the winter), on the other hand [21].”
- Classification and challenges of bottom-up energy system models - A review (2020, methodology): “[122] have used a TIMES model with 288 time-slices (three day for season and 24 h per day) to show the increase of accuracy in the results of a long-term energy system model compared to the classical 12 time-slices approach.”