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 …
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 …
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 …
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
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 …
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 …
stock prediction and stock market. Prediction in stock market is challenging as it is affected …
Supply sequence modelling using hidden Markov models
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 …
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 …
a great environmental and public health concern nowadays. An important type of air …
Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method
In the present liberalized energy markets, electricity demand forecasting is critical for
planning of generation capacity and required resources. An accurate and efficient electricity …
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 …
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 …
Renewable energy potential has not been widely utilized, especially in Indonesia. Utilization …