مدل‌سازی پیش‌بینی مصرف انرژی با استفاده از روش هوش مصنوعی (مطالعۀ موردی در استان همدان)

[1] Simai, Mobina and Mirabadi. "Short-term forecast modeling of electricity consumption using artificial intelligence methods in Gilan province." Sustainable Energy Systems Quarterly.2023 1.3: 209-230.(persian)

[2] Nooralhi, Yousefi, Abbaspour and Siraj. "Modeling energy systems with the aim of increasing the share of renewals, a case study of Ahvaz city." Scientific-Promotional Journal of Iranian Energy.2019 23.4: 153-171.(persian)

[3] Ekonomou L. Greek long-term energy consumption prediction using artificial neural networks. Energy. 2010 Feb 1;35(2):512-7.

[4] Chapagain K, Kittipiyakul S, Kulthanavit P. Short-term electricity demand forecasting: Impact analysis of temperature for Thailand. Energies. 2020 May 15;13(10):2498.

[5] Rahman MM, Shakeri M, Tiong SK, Khatun F, Amin N, Pasupuleti J, Hasan MK. Prospective methodologies in hybrid renewable energy systems for energy prediction using artificial neural networks. Sustainability. 2021 Feb 23;13(4):2393.

[6] Suganthi L, Samuel AA. Energy models for demand forecasting—A review. Renewable and sustainable energy reviews. 2012 Feb 1;16(2):1223-40.

[7] Brito TC, Brito MA. Forecasting of Energy Consumption: Artificial Intelligence Methods. In2022 17th Iberian Conference on Information Systems and Technologies (CISTI) 2022 Jun 22 (pp. 1-4). IEEE.

[8] Wei N, Li C, Peng X, Zeng F, Lu X. Conventional models and artificial intelligence-based models for energy consumption forecasting: A review. Journal of Petroleum Science and Engineering. 2019 Oct 1;181:106187.

[9] Kalogirou SA. Applications of artificial neural-networks for energy systems. Applied energy. 2000 Sep 1;67(1-2):17-35.

[10] Đozić DJ, Urošević BD. Application of artificial neural networks for testing long-term energy policy targets. Energy. 2019 May 1;174:488-96.

[11] Chugh A, Chaudhary P, Rizwan M. Fuzzy logic approach for short term solar energy forecasting. In2015 Annual IEEE India Conference (INDICON) 2015 Dec 17 (pp. 1-6). IEEE.

[12] Maier HR, Galelli S, Razavi S, Castelletti A, Rizzoli A, Athanasiadis IN, Sànchez-Marrè M, Acutis M, Wu W, Humphrey GB. Exploding the myths: An introduction to artificial neural networks for prediction and forecasting. Environmental modelling & software. 2023 Jul 5:105776.

[13] Sepehr M, Eghtedaei R, Toolabimoghadam A, Noorollahi Y, Mohammadi M. Modeling the electrical energy consumption profile for residential buildings in Iran. Sustainable cities and society. 2018 Aug 1;41:481-9.

[14] Entezari A, Aslani A, Zahedi R, Noorollahi Y. Artificial intelligence and machine learning in energy systems: A bibliographic perspective. Energy Strategy Reviews. 2023 Jan 1;45:101017.

[15] Moosavian SF, Noorollahi Y, Shoaei M. Renewable energy resources utilization planning for sustainable energy system development on a stand-alone island. Journal of Cleaner Production. 2024 Jan 27:140892.

[16] Noorollahi Y, Sadeghi S, Yousefi H, Nohegar AJ. Landslide modelling and susceptibility mapping using AHP and fuzzy approaches. Int J Hydro. 2018;2(2):137-48.

[17] Noorollahi Y, Bigdelou P, Pourfayaz F, Yousefi H. Numerical modeling and economic analysis of a ground source heat pump for supplying energy for a greenhouse in Alborz province, Iran. Journal of Cleaner Production. 2016 Sep 10;131:145-54.

[18] Noorollahi Y, Itoi R, Yousefi H, Mohammadi M, Farhadi A. Modeling for diversifying electricity supply by maximizing renewable energy use in Ebino city southern Japan. Sustainable cities and society. 2017 Oct 1;34:371-84.

[19] Noorollahi Y, Jokar MA, Kalhor A. Using artificial neural networks for temporal and spatial wind speed forecasting in Iran. Energy Conversion and Management. 2016 May 1;115:17-25.

[20] Afzal S, Shokri A, Ziapour BM, Shakibi H, Sobhani B. Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms. Engineering Applications of Artificial Intelligence. 2024 Jan 1;127:107356.

[21] Mateo-Barcos S, Ribó-Pérez D, Rodríguez-García J, Alcázar-Ortega M. Forecasting electricity demand of municipalities through artificial neural networks and metered supply point classification. Energy Reports. 2024 Jun 1;11:3533-49.

[22] Mfetoum IM, Ngoh SK, Molu RJ, Nde Kenfack BF, Onguene R, Naoussi SR, Tamba JG, Bajaj M, Berhanu M. A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights. Scientific Reports. 2024 Feb 12;14(1):3572.

[23] Muñoz-Zavala AE, Macías-Díaz JE, Alba-Cuéllar D, Guerrero-Díaz-de-León JA. A Literature Review on Some Trends in Artificial Neural Networks for Modeling and Simulation with Time Series. Algorithms. 2024 Feb 7;17(2):76.