Research output per year
Research output per year
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Dive into the research topics where T.J.T. van der Heijden is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control
van der Heijden, T., Mendoza-Lugo, M. A., Palensky, P., van de Giesen, N. & Abraham, E., 2025, In: Water Resources Research. 61, 3, 27 p., e2024WR037115.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Unlocking Flexibility: Risk-Aware Operational Water and Energy Management
van der Heijden, T. J. T., 2024, 148 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile150 Downloads (Pure) -
A stochastic MPC framework for the control of pumping stations in polder systems with regard for uncertainty in inflow and hourly electricity prices
Heijden, T. V. D., Giesen, N. V. D., Palensky, P. & Abraham, E., 2023, Proceedings of EGU General Assembly 2023, Vienna, Austria, 24-28 Apr 2023, EGU23-6203, https://doi.org/10.5194/egusphere-egu23-6203, 2023.. Vienna, Vol. EGU23-6203. 2 p. EGU 23-6203Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile53 Downloads (Pure) -
Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems
van der Heijden, T., Palensky, P., van de Giesen, N. & Abraham, E., 2023, 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings. Piscataway: IEEE, p. 1-6 6 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile36 Downloads (Pure) -
Day Ahead Market price scenario generation using a Combined Quantile Regression Deep Neural Network and a Non-parametric Bayesian Network: A framework for risk-based Demand Response
van der Heijden, T., Palensky, P., van de Giesen, N. & Abraham, E., 2022, Proceedings of the 2022 IEEE International Conference on Power Systems Technology (POWERCON). IEEE, p. 1-5 5 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile2 Citations (Scopus)65 Downloads (Pure)
Datasets
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Dataset underlying the PhD thesis 'Unlocking flexibility: risk-aware operational water and energy management'
van der Heijden, T. J. T. (Creator), TU Delft - 4TU.ResearchData, 1 May 2024
DOI: 10.4121/E747FA10-AF31-41B8-B984-79132A1EFBF0
Dataset/Software: Dataset
Press/Media
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TU Delft presenteert acht beste klimaat- en energiepublicaties
C. Kaandorp, J. Schlumberger, T.J.T. van der Heijden, D.J. Boomkens, I. Snijder, M.J. van den Broek, Jorrit Bleeker, B. Mesdaghi, O.A. Katsikogiannis & J. Maruhashi
28/02/23
1 item of Media coverage
Press/Media: Public Engagement