Browsing by Subject "Forecasting"
Now showing items 1-5 of 5
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A Comparison of Classical Time Series Models and Machine Learning LSTM Model to Forecast Paddy Production in Sri Lanka
(2022-09)The most common & effective traditional methods of univariate time series forecasting are Autoregressive Integrated Moving Average (ARIMA) family models and Exponential Smoothing family models. With the recent advancement ... -
A Comparison of Classical Time Series Models and Machine Learning LSTM Model to Forecast Paddy Production in Sri Lanka
(2022-09)The most common & effective traditional methods of univariate time series forecasting are Autoregressive Integrated Moving Average (ARIMA) family models and Exponential Smoothing family models. With the recent advancement ... -
A Multi Factor Approach of Spot Price Forecasting via Deep Learning
(2024)The potential cost savings and the high scalability behind the spot instances benefit the cloud customers compared to On-demand instances fit for workloads that need uninterrupted compute power. However, the termination ...