Simulation of the effects of short term price pulses on energy consumption.
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Ommen, Thijs van | |
| dc.contributor.author | Overmars, Pim | |
| dc.date.accessioned | 2025-10-15T23:01:42Z | |
| dc.date.available | 2025-10-15T23:01:42Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/50535 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | This thesis investigates whether short-term, local price signals can be designed to reduce congestion by: discovering causal drivers of residential load; forecasting electrical load; and translating those forecasts into hour-specific price–consumption. These curves indicate the minimum day-ahead (DA) price needed to stay below a transformer capacity threshold. | |
| dc.title | Simulation of the effects of short term price pulses on energy consumption. | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Artificial Intelligence | |
| dc.thesis.id | 54596 |
