کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / دهمین کنفرانس بین المللی فناوری و مدیریت انرژی

Data-Driven Model for Predicting Power Generation in Integrated Turbine Units

نویسندگان :

Mohammad Mahdi Avazpour¹ Hosein Mohammadi²

1- دانشگاه شیراز 2- دانشگاه شیراز

کلمات کلیدی :

Data-driven approach،Energy optimization،Hybrid deep learning،Machine learning،LSTM،CNN

چکیده :

Given the increasing demand for energy and the challenges posed by climate change, the depletion of fossil fuel resources, and rising energy demand, optimizing power generation has become a critical priority in the energy industry. Climate change, excessive consumption, and inadequate infrastructure exacerbate energy imbalances. To address these challenges, this paper presents a data-driven approach to predicting power output. We evaluate and compare various state-of-the-art data-driven forecasting models to identify the most reliable approach for both short-term and long-term predictions. In this study, we propose a hybrid deep learning model combining Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN). This model excels at capturing time dependencies and nonlinear, complex patterns in the data. The results show that the hybrid LSTM-CNN model outperforms other machine learning approaches, including single-layer LSTM and Random Forest, with prediction accuracy up to 98%. This high level of accuracy makes the proposed model a reliable and effective solution for predicting power generation in combined-cycle power plants.

لیست مقالات

لیست مقالات بایگانی شده

Novel Hybrid Fuzzy/Rule-based Energy Management for Grid connected Hybrid Energy Storage System

Saeed Hosseinnataj - Ehsan Farrokhi - Jafar Adabi

Clean Energy's Role in Power Plant Development

Amir Meydani - Alireza Meidani - Shahriar Shahablavasani

A Comparative Study on Different Energy Storage Scenarios in an Off-Grid Dark Vertical Greenhouse

Sara Akbarnejad - Zahra Piryaei - Yazdan Alvari - Poroushat Shahidi - Ghazalsadat Lavasani - Majid Zandi

Conceptual Design of a Partial Hybrid Electric Engine for Small UAVs Propulsion System

Amin Anjomrouz

Short-Term Forecasting of Wind Turbine-Generated Power in the Presence Of Actuator Fault

Hamed Habibzadeh - Behnaz Malekzadeh javidi - Sara Motarabbesoun - Mahdi Dinparast - Hamed Kharrati

Improving Hosting Capacity Using PV-STATCOM and Demand Response Program in Distribution System

Farzin Fardinfar - Saeid Esmaeili Jafarabadi - Amir Abdollahi

Experimental investigation of the effects of diffuser's height on flow pattern and energy consumption of the impinging jet ventilation system

Seyed alireza Zolfaghari - Saeed Teymouri - Alireza Tavassolizade - Hamid Keshavarz - Amirhossein Zare

Comparative Evaluation of Machine Learning Methods for Predicting Energy Consumption in Buildings

Mahmood Seyyedzadeh - Pooya Zeynali - Alireza Tajdid - Amir A. ghavifekr - Reza Behinfaraz

Simulation of a nitric acid production unit in Aspen Hysys

Erfan Abbasian Hamedani - Zeinab Hamidzadeh - Seyed ali Mousavi - Alireza Kariman - Atila Mahnesaei

مکان‌یابی و پتانسیل‌سنجی انرژی زمین‌گرمایی در استان کرمان

مجتبی رضایی فرد - محمد گل کار - یونس نوراللهی

بیشتر