HAL (France)
open access
Prominent numbers in DCE cost vectors: A review and an application to wind energy
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Comparison of Pre‐Construction and Operational Wake Loss Estimates for Land‐Based Wind Plants#495468
- WINDPROF: Merged Best-Estimate Wind Profile Data – Cape Cod (WFIP3 Campaign)#495474
- Risk Assessment of Germanys Realizable Onshore Wind Energy Potential / Leon Schenke, Georg Jacobs, Thorsten Reichartz, Jannik Besseling, Lucas Blickwedel, Martin Knops#658410
- Momentum-Based Adversarial Attacks and Multi-Level Denoising Defenses in Deep Learning-Based Wind Power Forecasting.#9457
- DEAC0343SF00048 — THE REGENTS OF THE UNIVERSITY OF CALIFORNIA — Department of Energy ($18,009,881,071)#604254
Record · ID 208791
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive