Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network

RK Jana, I Ghosh, MW Wallin - Technological Forecasting and Social …, 2022 - Elsevier
The Bitcoin mining hosted in the blockchain network consumes enormous amounts of
energy and generates electronic waste at an alarming rate. The paper aims to model and …

An ensemble machine learning framework for Airbnb rental price modeling without using amenity-driven features

I Ghosh, RK Jana, MZ Abedin - International Journal of Contemporary …, 2023 - emerald.com
Purpose The prediction of Airbnb listing prices predominantly uses a set of amenity-driven
features. Choosing an appropriate set of features from thousands of available amenity …

[HTML][HTML] A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence

I Ghosh, TD Chaudhuri, E Alfaro-Cortés… - … Forecasting and Social …, 2022 - Elsevier
The paper presents a framework to forecast futures prices of stocks listed on the National
Stock Exchange (NSE) in India during normal (unaffected by the COVID-19 pandemic) and …

[HTML][HTML] Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and …

I Ghosh, MK Sanyal - … Journal of Information Management Data Insights, 2021 - Elsevier
Financial markets across the globe have seen rapid volatility and uncertainty owing to scary
and disruptive impacts of COVID-19 pandemic. Mayhem wrecked by frequent lockdowns …

FEB-stacking and FEB-DNN models for stock trend prediction: a performance analysis for pre and post covid-19 periods

I Ghosh, TD Chaudhuri - Decision Making: Applications in …, 2021 - dmame-journal.org
In this paper, stock price prediction is perceived as a binary classification problem where the
goal is to predict whether an increase or decrease in closing prices is going to be observed …

Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook's prophet framework for stock market prediction: An application in Indian context

I Ghosh, TD Chaudhuri - Expert systems with applications, 2022 - Elsevier
The paper presents a framework for forecasting stock prices for normal time and pandemic
period and tests its forecasting efficacy. It is based on the specification of dependent and …

A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction

H Niu, K Xu, C Liu - Energy, 2021 - Elsevier
Accurately forecasting the energy price has increasingly attracted attention of researchers. A
novel hybrid forecasting model, termed as ICEEMDAN-R-AttGRU, is for the first time …

Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange

MS Ismail, MSM Noorani, M Ismail, FA Razak… - Applied Soft …, 2020 - Elsevier
Predicting direction of stock price movement is notably important to provide a better
guidance to assist market participants in making their investment decisions. This study …

Co-movement and dynamic correlation of financial and energy markets: An integrated framework of nonlinear dynamics, wavelet analysis and DCC-GARCH

I Ghosh, MK Sanyal, RK Jana - Computational Economics, 2021 - Springer
In this paper, we analyze the inherent evolutionary dynamics of financial and energy
markets. We study their inter-relationships and perform predictive analysis using an …

Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI

I Ghosh, RK Jana - Technological Forecasting and Social Change, 2024 - Elsevier
The clean energy market analysis has seen a strong surge in the post-Paris agreement
owing to its undeniable environmental sustainability. The present work investigates the …