SWS Building Electric Demand Profile
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
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This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This fact sheet describes what Automatic Receptacle Controls (ARCs) are, how they work, ARC benefits and savings, and last, how they are being incorporated into energy codes. This fact sheet is meant to be a resource for energy codes adopters and influencers to help encourage them to adopt ARC provisions in their energy code.
The End-Use Load Profiles project created a public database of 900,000 individual building end-use load profiles. Load profiles were modeled to represent the U.S. building stock as it was in 2018, as nearly as possible based on the best available data. The End-Use Savings Shapes follow-on project adds measure impact profiles for energy efficiency and electrification packages to the public dataset. This presentation details the public dataset release on September 20, 2022.
Accurate and high-resolution residential load profiles are essential for power system modeling, demand response planning, and effective grid operation. As the energy sector moves towards a more actively managed distribution system, the ability to understand residential energy consumption at a minute-by-minute scale becomes increasingly critical. High-resolution load profiles provide key insights into demand patterns and user behavior, enabling grid operators to design more effective energy solutions; however, residential load measurements in the field are typically recorded at low resolutions, such as 15-60 minutes, which makes it hard to study the characteristics of different residential customers. This paper addresses these challenges by introducing a data-driven approach to generate realistic, high-resolution residential load profiles based on lowre-solution measurements and weather information. The proposed method retains the key features of the actual residential load measurements while offering appliance-level energy consumption details for each residential building. The results demonstrate the effectiveness of the proposed load profile generator, proving its capability to support utilities in optimizing residential energy management and ensuring a more reliable and resilient grid.