http://item.bettergrids.org/handle/1001/84 Fri, 10 Apr 2026 15:45:46 GMT 2026-04-10T15:45:46Z http://item.bettergrids.org/handle/1001/737 Title: TEMPO: Transportation Energy & Mobility Pathway Options Model Abstract: The electric vehicle charging dataset—produced using the Transportation Energy & Mobility Pathway Options (TEMPO) model—projects spatially, demographically, and temporally resolved passenger electric vehicle charging demand. The data are hourly annual for 2024-2050 based on 2012 actual meteorological year (AMY) weather; are available for three scenarios of light-duty passenger electric vehicle adoption, 3,108 counties in the contiguous United States (CONUS), 720 household and vehicle types, and two charging types (L1&L2 and DCFC); and were produced by running the TEMPO model at the county-level. The three adoption scenarios are: AEO Reference Case, which is aligned with the U.S. EIA Annual Energy Outlook 2018 EFS High Electrification, which is aligned with the High Electrification scenario of the Electrification Futures Study All EV Sales by 2035, which assumes that average passenger light-duty EV sales reach 50% in 2030 and 100% in 2035 The charging shapes are derived from two key assumptions of which data users should be aware: Ubiquitous charger access: Drivers of vehicles are assumed to have access to a charger whenever a trip is not in progress. Immediate charging: Immediately after trip completion, vehicles are plugged in and charge until they are either fully recharged or taken on another trip. These assumptions result in a bounding case in which vehicle state of charge is maximized at all times. This bounding case would minimize range anxiety, but is based on unrealistically high electric vehicle service equipment (EVSE) (i.e., charger) access, and unrealistic plug-in behavior. (Regarding the latter point, battery electric vehicles [BEVs] are often only plugged in a few times per week, but ubiquitous-immediate charging can result in dozens of charging sessions per week.) Sun, 01 Jan 2023 00:00:00 GMT http://item.bettergrids.org/handle/1001/737 2023-01-01T00:00:00Z http://item.bettergrids.org/handle/1001/736 Title: Test Case Repository for High Renewable Study - 240-bus Western Electricity Coordinating Council Test System Abstract: The 240-bus Western Electricity Coordinating Council (WECC) model in Reduced Network Modeling of WECC as a Market Design Prototype is used as a starting point. On top of this model are these added features: Develop a 2018 base case that reflects the up-to-date generation resource mix, including installed photovoltaic and wind capacities Provide temporal and spatial time-series data of renewables and loads across the WECC for 1 year Add dynamic models that can capture the main dynamic characteristics of the WECC system, including system frequency response and main inter-area oscillation modes. Wed, 01 Jan 2020 00:00:00 GMT http://item.bettergrids.org/handle/1001/736 2020-01-01T00:00:00Z http://item.bettergrids.org/handle/1001/733 Title: Ausgrid Distribution zone substation data Abstract: Ausgrid operates a network with over 180 zone substations. These substations form the boundary between the sub-transmission network and the distribution (11kV) network. In accordance with the National Electricity Rules Chapter 5 (Rule 5.13A), Ausgrid is making available historical interval demand data (in Megawatts) for all zone substations not subject to third party privacy concerns. Please refer to the Australian Energy Market Commission for further information on this rule. Each year, within 30 business days of the publication of our Distribution and Transmission Annual Planning Report, Ausgrid will provide 12 months worth of interval data in .csv format. The Reporting Year (as defined in Rule 5.13A) will be from May to May (i.e the 2015/16 data will cover the period May 2015 to April 2016). Sat, 30 Nov 2024 00:00:00 GMT http://item.bettergrids.org/handle/1001/733 2024-11-30T00:00:00Z http://item.bettergrids.org/handle/1001/731 Title: Outage Data Initiative Nationwide Abstract: The Outage Data Initiative Nationwide (ODIN) is a network of leading electric service providers who are committed to providing comprehensive interoperable power outage data that enables utilities and others to exchange data freely with designated stakeholders at all levels — helping restoration, reliability, risk mitigation, emergency response, and more. Leading US electric utility vendors support ODIN. Many electric utilities can participate in as little as 30 minutes and ODIN provides technical support for implementation. ODIN leverages two easily implementable standards for reporting electrical power outage data via Common Information Model (CIM) IEC 61968-3 and MultiSpeak. Mon, 01 Jan 2024 00:00:00 GMT http://item.bettergrids.org/handle/1001/731 2024-01-01T00:00:00Z