Electricity Price Forecasting for Cloud Computing Using an Enhanced Machine Learning Model
Cloud computing is rapidly taking over the information technology industry because it makes computing a lot easier without worries of buying the physical hardware needed for computations, rather, these services are hosted by companies with provide the cloud services. These companies contain a lot of...
Main Authors: | Saleh Albahli, Muhammad Shiraz, Nasir Ayub |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9246503/ |
Similar Items
-
Understanding the Effects of Influential Factors on Housing Prices by Combining Extreme Gradient Boosting and a Hedonic Price Model (XGBoost-HPM)
by: Sheng Li, et al.
Published: (2021-05-01) -
Performance Evaluation of Forecasting Strategies for Electricity Consumption in Buildings
by: Sarah Hadri, et al.
Published: (2021-09-01) -
Machine Learning Models for the Seasonal Forecast of Winter Surface Air Temperature in North America
by: Qi Feng Qian, et al.
Published: (2020-08-01) -
Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors
by: Claudio Monteiro, et al.
Published: (2018-04-01) -
Machine Learning Based Hybrid System for Imputation and Efficient Energy Demand Forecasting
by: Prince Waqas Khan, et al.
Published: (2020-05-01)