Application of Statistical and Artificial Intelligence Techniques for Medium-Term Electrical Energy Forecasting: A Case Study for a Regional Hospital
Electrical energy forecasting is crucial for efficient, reliable, and economic operations of hospitals due to serving 365 days a year, 24/7, and they require round-the-clock energy. An accurate prediction of energy consumption is particularly required for energy management, maintenance scheduling, a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SDEWES Centre
2020-09-01
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| Series: | Journal of Sustainable Development of Energy, Water and Environment Systems |
| Subjects: | |
| Online Access: |
http://www.sdewes.org/jsdewes/pid7.0306
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