arXiv (All)
open access
Uncovering Residential PV-EV Co-Adoption from Smart-Meter Data: Load Archetypes and Detection for Demand-Side Planning
The increasing adoption of electric vehicles (EVs) and rooftop photovoltaic (PV) systems is reshaping residential electricity demand and creating new challenges for demand-side management (DSM), tariff design, and low-voltage network planning. Much of the existing literature examines EV charging or
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Electricity and gas prices for households - ENP-East countries#791113
- Short-term effects of PV integration on global welfare and CO2 emissions. An application to the Iberian electricity market#948158
- Who adopts where and when? Electric vehicle diffusion with building-level localization in Germany#1165807
- Designing Electric Vehicle Charging Infrastructure to Benefit Residents in a Near-Port Community#279764
- Economic Evaluation of V2G-Enabled Fast Charging Stations Under Endogenous EV Adoption Dynamics#997274
Record · ID 1076234
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive