Ali Daraeepour

617 total citations
11 papers, 508 citations indexed

About

Ali Daraeepour is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Ali Daraeepour has authored 11 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 2 papers in Management Science and Operations Research and 1 paper in Civil and Structural Engineering. Recurrent topics in Ali Daraeepour's work include Electric Power System Optimization (11 papers), Energy Load and Power Forecasting (9 papers) and Smart Grid Energy Management (6 papers). Ali Daraeepour is often cited by papers focused on Electric Power System Optimization (11 papers), Energy Load and Power Forecasting (9 papers) and Smart Grid Energy Management (6 papers). Ali Daraeepour collaborates with scholars based in Iran, United States and Denmark. Ali Daraeepour's co-authors include Nima Amjady, Farshid Keynia, Alì Karimi, Hassan Monsef, Antonio J. Conejo, Dalia Patiño‐Echeverri, Jalal Kazempour, Eric D. Larson and Chris Greig and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Expert Systems with Applications.

In The Last Decade

Ali Daraeepour

11 papers receiving 496 citations

Peers

Ali Daraeepour

EEE

MSOR

CSE

AI

CVPR

Ming‐Tang Tsai Taiwan

Hamed Chitsaz Canada

H.M. Al-Hamadi Kuwait

S. El-Debeiky Egypt

Damitha K. Ranaweera United States

K. Afshar Iran

Danxiang Wei Macao

Mucun Sun United States

Amir Motamedi Canada

Ajay Shekhar Pandey India

Ming‐Tang Tsai Taiwan

Ali Daraeepour

421 ×0.9

EEE

64 ×0.7

MSOR

124 ×1.7

CSE

55 ×0.8

AI

25 ×0.5

CVPR

Citations per year, relative to Ali Daraeepour Ali Daraeepour (= 1×) peers Ming‐Tang Tsai

Countries citing papers authored by Ali Daraeepour

Since Specialization

Citations

This map shows the geographic impact of Ali Daraeepour's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Daraeepour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Daraeepour more than expected).

Fields of papers citing papers by Ali Daraeepour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Daraeepour. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Daraeepour. The network helps show where Ali Daraeepour may publish in the future.

Co-authorship network of co-authors of Ali Daraeepour

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Daraeepour. A scholar is included among the top collaborators of Ali Daraeepour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ali Daraeepour. Ali Daraeepour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Daraeepour, Ali, Eric D. Larson, & Chris Greig. (2021). Investigating Price Formation Enhancements in Non-Convex Electricity Markets as Renewable Generation Grows. The Energy Journal. 43(5). 161–180. 5 indexed citations

2.

Daraeepour, Ali, Dalia Patiño‐Echeverri, & Antonio J. Conejo. (2019). Economic and environmental implications of different approaches to hedge against wind production uncertainty in two-settlement electricity markets: A PJM case study. Energy Economics. 80. 336–354. 23 indexed citations

3.

Daraeepour, Ali, Jalal Kazempour, Dalia Patiño‐Echeverri, & Antonio J. Conejo. (2015). Strategic Demand-Side Response to Wind Power Integration. IEEE Transactions on Power Systems. 31(5). 3495–3505. 54 indexed citations

4.

Daraeepour, Ali, et al.. (2014). Day-ahead wind speed prediction by a Neural Network-based model. 1–5. 12 indexed citations

5.

Karimi, Alì, Ali Daraeepour, & Hassan Monsef. (2011). A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets. Applied Energy. 88(12). 5002–5012. 110 indexed citations

6.

Amjady, Nima, Ali Daraeepour, & Farshid Keynia. (2010). Day-ahead electricity price forecasting by modified relief algorithm and hybrid neural network. IET Generation Transmission & Distribution. 4(3). 432–444. 119 indexed citations

7.

Amjady, Nima & Ali Daraeepour. (2010). Midterm Demand Prediction of Electrical Power Systems Using a New Hybrid Forecast Technique. IEEE Transactions on Power Systems. 26(2). 755–765. 54 indexed citations

8.

Amjady, Nima & Ali Daraeepour. (2009). Design of input vector for day-ahead price forecasting of electricity markets. Expert Systems with Applications. 36(10). 12281–12294. 65 indexed citations

9.

Amjady, Nima & Ali Daraeepour. (2009). Mixed price and load forecasting of electricity markets by a new iterative prediction method. Electric Power Systems Research. 79(9). 1329–1336. 57 indexed citations

10.

Amjady, Nima & Ali Daraeepour. (2008). Day-ahead electricity price forecasting using the relief algorithm and neural networks. 1–7. 6 indexed citations

11.

Amjady, Nima & Ali Daraeepour. (2008). Day-ahead price forecasting of electricity markets by combination of mutual information technique and neural network. 1. 1–7. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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