Combining varying training data-based artificial intelligence models for energy price forecasting
N Rani, SK Aggarwal, S Kumar - Journal of the Chinese Institute of …, 2023 - Taylor & Francis
In this work, the price-forecasting accuracy of an ensemble of seasonal auto-regressive
integrated moving average (SARIMA), multiple linear regression (MLR), feed-forward neural …
integrated moving average (SARIMA), multiple linear regression (MLR), feed-forward neural …
Neural Learning Framework Approaches Directing Drug-Abuse research: Alcohol Consuming Vulnerability Risk
D Kumaresan, A Arivarasan - NeuroQuantology, 2023 - search.proquest.com
Consumption of alcohol is identified as the important reason to influence the individual's
health. Unnecessary use of these type of drugs develops challenging unsystematic …
health. Unnecessary use of these type of drugs develops challenging unsystematic …
[PDF][PDF] Developing Weather Forecasting Model Using Deep Learning
FA Tilahun, H Seid - academia.edu
Weather forecasting is the application of science and technology to predict the state of the
atmosphere for a future time and at a given location. Accurate weather forecasting is …
atmosphere for a future time and at a given location. Accurate weather forecasting is …