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Dr Zohreh Kaheh
Lecturer (Education) - Mathematics/Statistics

Summary

I contribute to the delivery of high-quality research-led teaching at Brunel London School, North China University of Technology to Beijing-based undergraduate students who wish to achieve degrees awarded jointly by both universities.

UG Modules:

MA1637 Calculus (D 2024/5)

MA3619 Data Science Project (D 2024/5)

MA1640 Advanced Calculus 1

MA2606 Discrete Mathematics and OR

Qualifications

  • BSc in Statistics
  • MSc in Industrial Engineering
  • PhD in Industrial Engineering

Responsibility

Teaching B.Sc. Mathematics in Data Science Programme at BUL-NCUT TNE campus in Beijing, China.

Newest selected publications

Kock, R., Kaheh, Z. and Shafie-Khah, M. (2024) 'Developing Two RNN-Based Algorithms for Electricity Price Forecasting in Markets with High Penetration of Renewable Energy Resources'.2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE. pp. 1266 - 1270.

Conference paper

Kaheh, Z., Baradaran Kazemzadeh, R., Masehian, E. and Husseinzadeh Kashan, A. (2022) 'A Mathematical Negotiation Mechanism for Distributed Procurement Problems and a Hybrid Algorithm for its Solution'. Scientia Iranica, 31 (11). pp. 805 - 824. ISSN: 1026-3098 Open Access Link

Journal article

Kaheh, Z. (2021) 'Social and Economic Factors in Demand-Side Flexibility', inFlexibility in Electric Power Distribution Networks. Open Access Link

Book chapter

Kaheh, Z. (2021) 'A System-of-Systems Planning Platform for Enabling Flexibility Provision at Distribution Level', inFlexibility in Electric Power Distribution Networks. Open Access Link

Book chapter

Kaheh, Z. and Shabanzadeh, M. (2021) 'The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon'. Journal of Big Data, 8 (1). pp. 1 - 17.Open Access Link

Journal article
More publications(9)

Brunel University London
Kingston Lane
Uxbridge
Middlesex UB8 3PH

Tel: +44 (0)1895 274000

Fax: +44 (0)1895 232806

Security: +44 (0)1895 255786

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