Book:
Lambert Academic Publishing (Sold by amazon.com)
 Power Systems Modeling and Planning: A Green Market-Driven Approach, (2017), ISBN: 978-620-2-30057-5.
Link:https://www.amazon.com/Power-Systems-Modeling-Planning-Market-Driven/dp/6202300574/ref=sr_1_1?s=booksie=UTF8qid =1518590918sr=1-1keywords=Power+Systems+Modeling+and+Planning%3A+A+Green+Market-Driven+ Approach

Dibagaran Publication (In Persian)
 MATLAB Programming, (2017), ISBN: 9786001249587
Link: http://dibagranpakhsh.ir/index.php?route=product/productproduct_id=1150

Papers:
Cleaner Production Journal
 Neshat, Najmeh, Amin-Naseri, M.R, 2015, "Cleaner Power Generation through Market-Driven Generation Expansion Planning: An Agent-Based Hybrid Framework of Game Theory and Particle Swarm Optimization". 105, 15, 206–217.
Link: https://www.sciencedirect.com/science/article/pii/S0959652614011263

Journal of Energy in SA
 Neshat, Najmeh, Amin-Naseri, M.R, Danesh, F, 2014, "Energy models: Methods and Characteristics". 25 (4), 101-111.
Link: http://www.erc.uct.ac.za/sites/default/files/image_tool/images/119/jesa/25-4jesa-Neshat-etal.pdf

Journal of Industrial Engineering Management
 Neshat, Najmeh, Sardari Zarchi, Mohsen, Mahlooji, Hashem, "Application of Deep Learning Models Based on Fully-connected and Recurrent Neural Networks in Residual Peak load Forecasting ". In Press.

International Journal of Engineering
 Neshat, Najmeh, Amin-Naseri, Mohammad.R, Shakouri Ganjavi, Hamed, 2017, "A Game Theoretic Approach for Sustainable Power Systems Planning in Transition", 30, 3, 394-403.
Link: http://www.ije.ir/abstract/%7BVolume:30-Transactions:C-Number:3%7D/=2448

Journal of Engineering, Design and Technology
 Neshat, Najmeh, Hadian, Hengameh, 2019. "Technological Learning Modelling Toward Sustainable Energy Planning". In Press.
Link: https://www.emerald.com/insight/content/doi/10.1108/JEDT-03-2019-0085/full/html

Neural Network World Journal
Kazemi, A., Shakouri, H.G., Menhaj, M.B., Mehregan, M.R., Neshat, N., 2010. "A Hierarchical Artificial Neural Network for Transport Energy Demand Forecast: Iran Case Study", 1.
Link: http://www.nnw.cz/doi/2011/NNW.2011.21.012.pdf

Management Science Letters
 Neshat, Najmeh, Hadian, Hengameh and Behzad, Matineh, 2018, "Nonlinear ARIMAX model for long –term sectoral Power demand forecasting", In Press
Link: http://www.growingscience.com/msl/Vol8/msl_2018_45.pdf

Journal of Industrial Engineering (In Persian)
 Ali Torabi; Shima Pashapour Nazari; Neshat, Najmeh 2013. "A Novel Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression Approach for Forecasting Purposes: The case of liquid gas price in Japan’s market", 48(1), 15-24.
Link: https://jieng.ut.ac.ir/article_35507_397a376a72db90519b639fe45542affc.pdf

International Journal of Engineering
 Neshat, Najmeh, 2015, "An Approach of Artificial Neural Networks Modelling Based on Fuzzy Regression for Forecasting Purposes", 28, 1651-1655.
Link: http://www.ije.ir/abstract/%7BVolume:28-Transactions:B-Number:11%7D/=2134

Advanced Manufacturing Technology Journal
 Azadeh, A., Neshat, N., Kazemi, A., Saberi, M., 2012. "Predictive Control of Drying Process using an Adaptive Neuro-Fuzzy and Partial Least Squares Approach". 58, 585–596. doi:10.1007/s00170-011-3415-2.
Link: https://link.springer.com/article/10.1007/s00170-011-3415-2

Advanced Manufacturing Technology Journal
 Azadeh, A., Neshat, N., Mardan, E., Saberi, M., 2013. "Optimization of Steel Demand Forecasting with Complex and Uncertain Economic Inputs by an Integrated Neural Network–Fuzzy Mathematical Programming Approach". 65, 833–841. doi:10.1007/s00170-012-4221-1
Link: https://link.springer.com/article/10.1007/s00170-012-4221-1

Scientia Iranica Journal
 Neshat, Najmeh, Mahlooji, H., Kazemi, A., 2011. "An Enhanced Neural Network Model for Predictive Control of Granule Quality Characteristics". 18, 722–730. doi:10.1016/j.scient.2011.05.019.
Link: https://www.sciencedirect.com/science/article/pii/S1026309811000848

Transactions of Indian Ceramic Society Journal
 Neshat, Najmeh, Salmasi, Nasser. and Kazemi, Aliyeh, 2010. "Hybrid Approach of Partial Least Squared Analysis and Artificial Neural Networks for Predictive Control of a Ceramic Process", 69(2): 89-98.
Link: http://www.tandfonline.com/doi/abs/10.1080/0371750X.2010.11090823

Transportation Planning and Technology Journal
 Azadeh, Ali, Neshat, Najmeh, 2012. "An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: the case of Iran". 35, 221–240. doi:10.1080/03081060.2011.651887.
Link: http://www.tandfonline.com/doi/full/10.1080/03081060.2011.651887

Journal of Water Resources Planning and Management
 Azadeh, Ali, Neshat, Najmeh, Hamidipour, H., 2012b. "Hybrid Fuzzy Regression–Artificial Neural Network for Improvement of Short-Term Water Consumption Estimation and Forecasting in Uncertain and Complex Environments: Case of a Large Metropolitan City". 138, 71–75. doi:10.1061/(ASCE)WR.1943-5452.0000152.
Link: https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29WR.1943-5452.0000152

Journal- Chinese Institute of Engineers
 Azadeh, A., Rafei, K, Neshat, N., Zohrevand, M, 2015. "A Unique Neuro-Fuzzy Approach for Improved Prediction of Tire Reliability Analysis with Noisy Life Data". 38(4), DOI: 10.1080/02533839.2014.999853.
Link: http://www.tandfonline.com/doi/full/10.1080/02533839.2014.999853

Sharif Journal (In Persian)
 Neshat, Najmeh, Mahlooji, Hashem, 2008. "Proactive Control of Production Process using Artificial Neural Networks (ANNs) and Logistic Regression", 1(3).
Link: http://sjie.journals.sharif.edu/article_5192_3431314639b3b5ba37c8dce35e61c5e0.pdf

Journal of Industrial Management (In Persian)
 Neshat, Najmeh, Mahlooji, Hashem, 2008. Predictive Process Control Using Artificial Neural Networks (ANNs) and A Combined Method of Regression Analysis and ANNs, 1(3).
Link: https://imj.ut.ac.ir/article_20388_16c8971cfab38aa36907d7e9c9928135.pdf

 

نشاط نجمه؛ محلوجی، هاشم؛ مقاله "كنترل پيش بينانه فرآيند با استفاده سلسله مراتبي از تحليل رگرسيوني در شبكه عصبي مصنوعي موردكاوي :فرآيند اسپري درايينگ كاشي سراميكي" – نشريه علمي پژوهشي دانش مديريت دانشگاه تهران -   دوره 1- شماره 3-  اسفند 88.

نشاط نجمه؛ محلوجی، هاشم، مقاله " پيش بيني عملکرد فرآيند هاي توليدي با استفاده از رگرسيون لجستيک و شبکه عصبي مصنوعي" –فصلنامه علمي-پژوهشي شريف -  شماره 1 - مهر و آبان 1390.

 توکلی، رضا؛ پاشاپور، شیما؛ نشاط، نجمه، رويكردي نوين در مدل سازي شبكه عصبي مصنوعي بر اساس منطق رگرسيون فازي و كاربرد آن در پيش بيني (مورد كاوي: پيش بيني قيمت گاز مايع ژاپن) – نشريه مهندسی صنايع دانشگاه تهران – شماره 1- بهار 92.

نجمه نشاط ، محسن سرداری، هاشم محلوجی، مدلهای یادگیری عمیق مبتنی بر شبکه های عصبی تمام متصل در پیش بینی سری های زمانی، مجله دانشگاه صنعتی شریف ، زمستان 1398

نشاط،  نجمه،  پورآدینه، علی اکبر ،  برنامه ریزي ظرفیت توسعه نیروگاهی کشور با رویکرد چند عاملی، دومین کنفرانس بین المللی مهندسی صنایع و سیستم ها (ICISE 2016)  ، شهریور ماه 1395
علی حیدری، طاهره، خادمی، حسن،  نشاط، نجمه، مقاله "عارضه يابي سازماني" – ارائه شده در همايش ملي بهره وري – خرداد ماه 1387.

نشاط، نجمه، علی حیدری، طاهره، خادمی، حسن، مقاله "شناسائي و تعيين محرک هزينه در روش ABC با استفاده از شبکه های عصبی –کنفرانس بين المللي مدیريت- تير ماه 1388.
نشاط، نجمه، آزاده، علی،  “A Hybrid Approach of Partial Least Squared Analysis and Neural Networks for Predictive Control of a Ceramic Process” در کنفرانس بین المللی مهندسی صنایع – دانشگاه صنعتی اصفهان- مهر ماه 1389.

نشاط، نجمه، آزاده، علی،  An Adaptive Neural Network-Fuzzy Regression Approach for Optimization of Steel Price Forecasting in Complex and Non-Linear Environment” در کنفرانس بین المللی مهندسی صنایع – دانشگاه صنعتی اصفهان- مهر ماه 1389.

15th International Industrial Engineering Conference (IIIEC2019) "An improvement for Time tabling problem", Yazd, Iran, January 23-24, 2019

15th International Industrial Engineering Conference (IIIEC2019) "A Graph Based Assessment for Teaching Process", Yazd, Iran, January 23-24, 2019