Machine learning approaches in stock price prediction: a systematic review

P Soni, Y Tewari, D Krishnan - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Prediction of stock prices is one of the most researched topics and gathers interest from
academia and the industry alike. With the emergence of Artificial Intelligence, various …

Neural networks for financial time series forecasting

K Sako, BN Mpinda, PC Rodrigues - Entropy, 2022 - mdpi.com
Financial and economic time series forecasting has never been an easy task due to its
sensibility to political, economic and social factors. For this reason, people who invest in …

Multiple novel decomposition techniques for time series forecasting: Application to monthly forecasting of electricity consumption in Pakistan

H Iftikhar, N Bibi, P Canas Rodrigues… - Energies, 2023 - mdpi.com
In today's modern world, monthly forecasts of electricity consumption are vital in planning the
generation and distribution of energy utilities. However, the properties of these time series …

Forecasting day-ahead electricity prices for the Italian electricity market using a new decomposition—combination technique

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
Over the last 30 years, day-ahead electricity price forecasts have been critical to public and
private decision-making. This importance has increased since the global wave of …

A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison

SS Raju, M Srikanth, K Guravaiah… - … on Innovative Trends …, 2023 - ieeexplore.ieee.org
For last few years, there has been significant research on application of AI/ML algorithms in
stock prediction and stock market. Prediction in stock market is challenging as it is affected …

Supply sequence modelling using hidden Markov models

A Borucka, E Kozłowski, R Parczewski, K Antosz, L Gil… - Applied Sciences, 2022 - mdpi.com
Logistics processes, their effective planning as well as proper management and effective
implementation are of key importance in an enterprise. This article analyzes the process of …

Spatio-temporal visualization and forecasting of in the Brazilian state of Minas Gerais

KLS da Silva, JL López-Gonzales… - Scientific Reports, 2023 - nature.com
Air pollution due to air contamination by gases, liquids, and solid particles in suspension, is
a great environmental and public health concern nowadays. An important type of air …

Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
In the present liberalized energy markets, electricity demand forecasting is critical for
planning of generation capacity and required resources. An accurate and efficient electricity …

Short-term solar insolation forecasting in isolated hybrid power systems using neural networks

P Matrenin, V Manusov, M Nazarov, M Safaraliev… - Inventions, 2023 - mdpi.com
Solar energy is an unlimited and sustainable energy source that holds great importance
during the global shift towards environmentally friendly energy production. However …

[PDF][PDF] Forecasting Solar Irradiation on Solar Tubes Using the LSTM Method and Exponential Smoothing

WT Handoko, AN Handayani - J. Ilm. Tek. Elektro Komput. dan …, 2023 - eprints.uad.ac.id
Sunlight is an alternative energy source that can be used as a substitute for fossil fuels.
Renewable energy potential has not been widely utilized, especially in Indonesia. Utilization …