0% Complete
صفحه اصلی
/
دهمین کنفرانس بین المللی فناوری و مدیریت انرژی
Data-Driven Energy Consumption Prediction: A Comprehensive Approach to Smart Energy Management
نویسندگان :
Soheil Sheikh Ahmadi
1
Alireza Sheikh Ahmadi
2
1- دانشگاه تبریز
2- دانشگاه ارومیه
کلمات کلیدی :
Energy Consumption Prediction،Machine Learning،MLP Regression Optimization،Smart Energy Systems،XGBoost
چکیده :
This paper presents a machine learning-based approach for predicting energy consumption to optimize energy usage in various environments. The dataset, sourced from Kaggle, includes features like temperature, humidity, square footage, time of day, and operational statuses of energy systems such as HVAC and lighting. Multiple models, including XGBoost, MLP regression, Ridge, Lasso, and ElasticNet, were trained and optimized using grid search to enhance prediction accuracy. Among these, XGBoost outperformed other methods, demonstrating superior accuracy and efficiency. A detailed comparison with previous studies further highlights significant improvements achieved by this approach. Additionally, the proposed method has been evaluated against other techniques reported in the literature, confirming its robustness and effectiveness. By accurately predicting energy consumption through environmental and operational parameters, this study offers a practical tool for efficient energy management and cost reduction in smart energy systems. The results underscore the potential of advanced machine learning models for improving energy optimization strategies.
لیست مقالات
لیست مقالات بایگانی شده
Protection of the Blinding Area in Active Distribution Network by Multi-Function Relays
Mohammad Zareein - Jalal Sahebkar Farkhani
یک اینورتر تقویت کننده نه سطحی جدید چهارگانه با قابلیت بار القایی
علی پارسا عموقین - آرمان عاصم کفاش - فرزاد صداقتی
مخاطرات زیست محیطی و اثرات آن در ریزشبکههای جزیره ا ی با مکانیزم سیستم های ذخیره سازی انرژی الکتریکی
احمد زندی - معصومه محمدیان - حدیث قائیدرحمتی
Integrating energy harvesting with active structural control systems: An overview
Ayoub Keshmiry - Hamed Enayati
Preparation and Modification of Nanoparticles by Plasma Process
Samaneh Ghaseminiya - Mohammadreza Sarmasti Emami - Afshin Dehghani Kiadehi
Simultaneous investigation of the increase in organic load of sediment using spirulina algae powder and increase in catholyte conductivity on sediment microbial fuel cell performance
Hanie Soleimani - Mostafa Rahimnejad - Mehrdad Mashkour
Enhancing Transparency in the Peer-to-Peer Transactive Energy Market: Smart Contract Monitoring in Bilateral Negotiations with the Ethereum Platform
Hossein Shahinzadeh - Mahtab Nasri Nasrabadi - Hamed Nafisi - Majid Moazzami - Francisco Jurado - Almoataz Y. Abdelaziz
Multi-Objective Optimization of Combined BIPV-Glass Facades to Enhance Energy Generation and Visual Comfort (Case Study: Office Buildings in Yazd City)
Paria Saadatjoo - Elham Saligheh - Badamchizadeh Parinaz
کمینه سازی توان ارسالی کل در اتوماسیون کارخانه مبتنی بر اینترنت اشیاء
سولماز سرخی اسبقی - محمود محصل فقهی - امیر امین زاده قوی فکر
Losses calculation of a two-input Boost Converter for Renewable Energy Applications
Mohammad Afkar - Mohammad Amin Razmjou - Roghayeh Gavagsaz-Ghoachani - Matheepot Phattanasak - Serge Pierfederici
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.0.1
