A. Taşcıkaraoǧlu

Electrical and Electronic Engineering · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 29 citations into it
• Computational Mechanics — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Aerospace Engineering — 5 citations into it
• Management Science and Operations Research — 5 citations into it
• Signal Processing — 5 citations into it

Whom A. Taşcıkaraoǧlu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joel A. Tropp
2. Yonina C. Eldar
3. Gong Li
4. Julija Tastu
5. Jing Shi
6. Junyi Zhou
7. Amanda S. Hering
8. Mohamed A. Mohandes
9. Scott Shaobing Chen
10. João P. S. Catalão

Who trusts A. Taşcıkaraoǧlu overall

1. Daniel Ambach
2. Amir Ghaderi
3. Borhan Molazem Sanandaji
4. Florian Ziel
5. Wolfgang Schmid
6. Carsten Croonenbroeck
7. Hui Liu
8. Faezeh Ghaderi
9. Kameshwar Poolla

Papers from A. Taşcıkaraoǧlu's perspective

Ordered by how strongly the researchers A. Taşcıkaraoǧlu trusts endorse each paper. Same corpus, a different order for every researcher.

1. A review on the young history of the wind power short-term prediction
2. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
3. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
4. A comparison of various forecasting techniques applied to mean hourly wind speed time series
5. On comparing three artificial neural networks for wind speed forecasting
6. Powering Up With Space-Time Wind Forecasting
7. Atomic Decomposition by Basis Pursuit
8. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery (IEEE Transactions on Signal Processing)
9. Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
10. Time series forecasting using a hybrid ARIMA and neural network model

Their papers

• Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform (2016) — 161 citations
• Low-dimensional models in spatio-temporal wind speed forecasting (2015) — 26 citations
• A review of combined approaches for prediction of short-term wind speed and power (2014)