SEWA Electricity Deman Forecasting -- 2020 and 2021

Published: 18 August 2023| Version 1 | DOI: 10.17632/4rjc87zrd3.1
Mohammed Saeed jawad


The SEWA electricity forecasting dataset provides an in-depth insight into power demand over 2020 and 2021. This exhaustive collection intertwines general daily data, like dates, with specific hourly environmental parameters such as temperature, humidity, wind speed, and solar irradiance. Such details are pivotal, offering a holistic context to electricity consumption metrics. Venturing deeper, the dataset touches upon SEWA's technical metrics surrounding electricity load dynamics. Key indicators, including minimal load, peak load, and hourly energy metrics, form the dataset's analytical backbone. A noteworthy feature is the "lagged demand," which reflects the prior hour's electricity demand, adding a layer of temporal depth to the analysis. Organized meticulously, the dataset segregates data into hourly segments, detailing power demand for each hour, from midnight to midnight. Concurrently, the daily data summarizes these hourly intricacies, offering a consolidated view of each day's power demand. Analytically, the dataset stands primed for rigorous scrutiny. It facilitates calculations of mean demand, assessment of hourly demand variability, distinction of peak from off-peak periods, and tracking of emerging trends over timeframes. Visualization potentials are vast, enabling one to map out daily demand trajectories and monitor demand evolution longitudinally. Furthermore, the data's structure and granularity enable detection of seasonal shifts, overarching trends, and any inherent cyclical or irregular patterns, making it an invaluable resource for power demand analysts.



Universiti Tun Hussein Onn Malaysia


Energy Demand, Electric Power Distribution, Energy Forecasting