Power spectrum: A detailed dataset on electric demand and environmental interplays
This dataset provides detailed electricity demand forecasting metrics for the Sharjah Electricity and Water Authority (SEWA) over 2020 and 2021. Data encompasses both hourly and daily demand patterns, enriched with specific environmental parameters such as temperature, humidity, and solar irradiance...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11769/1/J17266_1594162e564c48282331c84a630fc1fd.pdf |
| _version_ | 1824446592837484544 |
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| author | Jawad, M.S. Dhawale, Chitra Al Ali, Abdel Rahman Ramli, Azizul Azhar |
| author_facet | Jawad, M.S. Dhawale, Chitra Al Ali, Abdel Rahman Ramli, Azizul Azhar |
| author_sort | Jawad, M.S. |
| collection | UTHM |
| description | This dataset provides detailed electricity demand forecasting metrics for the Sharjah Electricity and Water Authority (SEWA) over 2020 and 2021. Data encompasses both hourly and daily demand patterns, enriched with specific environmental parameters such as temperature, humidity, and solar irradiance. Additionally, SEWA’s unique load metrics and
lagged demand values, representing previous hour demand,
are included. Data was procured using advanced electrical load meters and standardized weather data acquisition systems. Preliminary and advanced data processing was conducted via Excel tool. This comprehensive dataset is invaluable for stakeholders in electricity provisioning and policy-making. Its granular detail makes it a pivotal resource for modelling and forecasting electricity demand, aiding in infrastructure planning, renewable energy considerations, and demand-side management. The potential applications span across academic, policy, and industry domains, rendering it a versatile tool for future electricity demand research. |
| first_indexed | 2025-02-19T01:17:37Z |
| format | Article |
| id | uthm.eprints-11769 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2025-02-19T01:17:37Z |
| publishDate | 2024 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | uthm.eprints-117692025-01-31T03:25:58Z http://eprints.uthm.edu.my/11769/ Power spectrum: A detailed dataset on electric demand and environmental interplays Jawad, M.S. Dhawale, Chitra Al Ali, Abdel Rahman Ramli, Azizul Azhar TK Electrical engineering. Electronics Nuclear engineering This dataset provides detailed electricity demand forecasting metrics for the Sharjah Electricity and Water Authority (SEWA) over 2020 and 2021. Data encompasses both hourly and daily demand patterns, enriched with specific environmental parameters such as temperature, humidity, and solar irradiance. Additionally, SEWA’s unique load metrics and lagged demand values, representing previous hour demand, are included. Data was procured using advanced electrical load meters and standardized weather data acquisition systems. Preliminary and advanced data processing was conducted via Excel tool. This comprehensive dataset is invaluable for stakeholders in electricity provisioning and policy-making. Its granular detail makes it a pivotal resource for modelling and forecasting electricity demand, aiding in infrastructure planning, renewable energy considerations, and demand-side management. The potential applications span across academic, policy, and industry domains, rendering it a versatile tool for future electricity demand research. Elsevier 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/11769/1/J17266_1594162e564c48282331c84a630fc1fd.pdf Jawad, M.S. and Dhawale, Chitra and Al Ali, Abdel Rahman and Ramli, Azizul Azhar (2024) Power spectrum: A detailed dataset on electric demand and environmental interplays. Data in Brief, 52. pp. 1-9. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Jawad, M.S. Dhawale, Chitra Al Ali, Abdel Rahman Ramli, Azizul Azhar Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title | Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title_full | Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title_fullStr | Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title_full_unstemmed | Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title_short | Power spectrum: A detailed dataset on electric demand and environmental interplays |
| title_sort | power spectrum a detailed dataset on electric demand and environmental interplays |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.uthm.edu.my/11769/1/J17266_1594162e564c48282331c84a630fc1fd.pdf |
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