Hybrid Market Design for P2P energy trading dataset

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Authors: rekan
Cited by: 0

Abstract

This dataset contains the input parameters used for simulating the decentralized energy trading framework. It includes hourly node-level information such as solar generation (kW), prosumer participation, total energy units, load forecast (kWh), electricity price (₹/kWh), profit preference, participant rating, and storage capacity (kWh) used in the Multi-k Double Auction and Enhanced Stable Matching model.

Fields of Study & Subjects

Smart Grid Energy Management Blockchain Technology Applications and Security Electric Power System Optimization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN
Document type
Dataset