Modelling and forecasting energy demand of Bangladesh using AI based algorithms

Modelling and forecasting energy demand of Bangladesh using AI based algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografiske detaljer
Main Authors:	Mahmud, Booshra Nazifa, Ferdoush, Zannatul, Mim, Lamia Tasnim
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2019
Fag:	Load forecast Prediction Decision tree Random forest K Nearest Long Short Term Memory Machine learning Decision trees
Online adgang:	http://hdl.handle.net/10361/12353

Lignende værker

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
af: Rahee, Arnob, et al.
Udgivet: (2021)

A feature selection approach to determine obesity using machine learning method
af: Antor, Shahidul Alam, et al.
Udgivet: (2021)

Effectiveness of data mining in predicting heart diseases
af: Afrin, Shahria, et al.
Udgivet: (2018)

A counseling system to predict the study path for freshmen
af: Usha, Rowshni Tasneem, et al.
Udgivet: (2019)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
af: Zaman, Md. Sayeed Ibne, et al.
Udgivet: (2022)

Detecting online recruitment fraud by using machine learning
af: Ghosh, Gitanjali, et al.
Udgivet: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
af: Chakraborty, Pranjal, et al.
Udgivet: (2017)

Conversion of Bengali speech to text using long short-term memory(LSTM)
af: Chowdhury, Mohammad Fahim, et al.
Udgivet: (2021)

Finding suitable locations for live campaigns using different machine learning techniques
af: Qudar, Mohiuddin Md. Abdul, et al.
Udgivet: (2018)

Parking data analysis
af: Ahamed, Kasfi, et al.
Udgivet: (2023)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
af: Tasnim, Anika, et al.
Udgivet: (2022)

Flood prediction using machine learning models
af: Syeed, Miah Mohammad Asif, et al.
Udgivet: (2022)

Share market forecasting with LSTM neural network and sentimental trend prediction
af: Rony, Ismail Hossain, et al.
Udgivet: (2020)

Credit card fraud detection using machine learning techniques
af: Kabir, Tasmia, et al.
Udgivet: (2021)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
af: Mahmud, Mahmudul Hasan
Udgivet: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
af: Farabe, Abdullah Al, et al.
Udgivet: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
af: Arefin Mirdha, MD Shamsul
Udgivet: (2023)

A voice signal based gender prediction model using random forest classifier
af: Ahmed, Saif, et al.
Udgivet: (2018)

Economic crisis prediction due to pandemic outbreak using machine learning
af: Ahmed, Tanvir, et al.
Udgivet: (2021)

Finding ideal geographical location for businesses using machine learning technique
af: Mahmud, Mir Ibtid, et al.
Udgivet: (2022)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
af: Hossain, Shoumik, et al.
Udgivet: (2022)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
af: Hasan, Kamrul, et al.
Udgivet: (2018)

Early grade prediction using profile data
af: Iqbal, Sumaiya, et al.
Udgivet: (2021)

Performance analysis of machine learning algorithms for Malware classification
af: Bushra, Raisa Hasan, et al.
Udgivet: (2023)

Machine learning-based approach on predicting online shopping addiction using EEG signals
af: Nawer, Nafisa, et al.
Udgivet: (2023)

Amazon product reviews sentiment analysis using supervised learning algorithms
af: Hawladar, Mohibullah, et al.
Udgivet: (2021)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
af: Ahmed, Istear, et al.
Udgivet: (2023)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
af: Al-Wasee, Mohammad Samin, et al.
Udgivet: (2022)

Scrutiny of electricity data for consumption and load forecasting
af: Islam, Samiul
Udgivet: (2018)

Machine learning for stress prediction
af: Salehin, Sherajus, et al.
Udgivet: (2023)

Intelligent assisted living in pregnancy
af: Zaman, S. M. Tanveer, et al.
Udgivet: (2022)

Automated fabric color prediction
af: Muhtashima, Fawzia, et al.
Udgivet: (2024)

Application of CNN based architectures in detection of distracted drivers
af: Arafin, Irfana, et al.
Udgivet: (2023)

Effects of warranty on purchase decision of electronic products: an empirical research from the perspective of Bangladesh
af: Ullah, G. M. Shafayet, et al.
Udgivet: (2016)

Fighting depression: psychological approaches among Bangladeshi university students
af: Sen, Sanjib Kumar, et al.
Udgivet: (2022)

Behavior trees in robotics and Al /
af: Collendanchise, Michele, et al.
Udgivet: (2019)

Predicting brain age from EEG signals using machine learning and neural network
af: Pratanu, Abul Mushfique Muslah, et al.
Udgivet: (2023)

An advanced hospital rating system using machine learning and natural language processing
af: Tamjid, Ali Asgar, et al.
Udgivet: (2023)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
af: Sarkar, Ripa, et al.
Udgivet: (2024)

The influence of neuromarketing: machine learning based empirical analysis
af: Muktadir, MD. Abdullah Al, et al.
Udgivet: (2024)