Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 2101-2105 |
| Journal | CIRED - Open Access Proceedings Journal |
| Volume | 2017 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 12 Jun 2017 |
| Event | 24th International Conference and Exhibition on Electricity Distribution, CIRED 2017 - SSE, Glasgow, United Kingdom Duration: 12 Jun 2017 → 15 Jun 2017 Conference number: 24 http://www.cired-2017.org/ |
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Application and evaluation of a probabilistic forecasting model for expected local PV penetration levels. / Bernards, R.; Verweij, R.; Coster, E.; Morren, J.; Slootweg, J.G.
In: CIRED - Open Access Proceedings Journal, Vol. 2017, No. 1, 12.06.2017, p. 2101-2105.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Application and evaluation of a probabilistic forecasting model for expected local PV penetration levels
AU - Bernards, R.
AU - Verweij, R.
AU - Coster, E.
AU - Morren, J.
AU - Slootweg, J.G.
PY - 2017/6/12
Y1 - 2017/6/12
N2 - A data driven scenario-based approach is applied to predict the adoption and expected local penetration levels of photovoltaic (PV) installations in an actual distribution network area in the Netherlands. Local PV adoption probabilities are scaled according to a trained statistical model. Integration of this model in the scenarios is shown to provide a significant improvement in prediction accuracy. In addition, a probabilistic forecast is simulated highlighting the local impact on the electricity network for several future scenarios.
AB - A data driven scenario-based approach is applied to predict the adoption and expected local penetration levels of photovoltaic (PV) installations in an actual distribution network area in the Netherlands. Local PV adoption probabilities are scaled according to a trained statistical model. Integration of this model in the scenarios is shown to provide a significant improvement in prediction accuracy. In addition, a probabilistic forecast is simulated highlighting the local impact on the electricity network for several future scenarios.
U2 - 10.1049/oap-cired.2017.0600
DO - 10.1049/oap-cired.2017.0600
M3 - Article
VL - 2017
SP - 2101
EP - 2105
JO - CIRED - Open Access Proceedings Journal
JF - CIRED - Open Access Proceedings Journal
SN - 2515-0855
IS - 1
ER -