On the public citation graph

RETRACTED: New Energy Power Planning of Photovoltaic Power System for a Smart City Based on Genetic Algorithm

0 signed · 15 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Retraction Watch lists this work as retracted (export 2026-11-04; notice 2026-01-26, 10.1520/jte20269996). OpenCitations Index CSV, figshare 24356626 v8 (2026-09-08) records 4 citing works; 0 have dates after the notice under the dataset’s date-resolution rule.

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00202-019-00897-4openalex-snapshot
A novel strategy for indirect control of peak dc-link voltage of grid-connected qZS inverter fed through renewable energy sources
inferredcites →https://doi.org/10.1016/j.apenergy.2019.01.142openalex-snapshot
A data mining-driven incentive-based demand response scheme for a virtual power plant
inferredcites →https://doi.org/10.1016/j.apenergy.2020.116383openalex-snapshot
How does new energy storage affect the operation and revenue of existing generation?
inferredcites →https://doi.org/10.1016/j.apergo.2021.103399openalex-snapshot
Biased energy efficiency perception based on instantaneous consumption displays – Indication for heuristic energy information processing
inferredcites →https://doi.org/10.1016/j.energy.2019.115889openalex-snapshot
Stochastic expansion planning of gas and electricity networks: A decentralized-based approach
inferredcites →https://doi.org/10.1016/j.energy.2020.118762openalex-snapshot
Increasing the integration of variable renewable energy in coal-based energy system using power to heat technologies: The case of Kosovo
inferredcites →https://doi.org/10.1016/j.energy.2021.120569openalex-snapshot
Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China
inferredcites →https://doi.org/10.1016/j.neunet.2020.01.003openalex-snapshot
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments
inferredcites →https://doi.org/10.1088/1361-6528/ab2d3bopenalex-snapshot
Structural colour QR codes for multichannel information storage with enhanced optical security and life expectancy
inferredcites →https://doi.org/10.1109/tpwrs.2019.2944500openalex-snapshot
Guest Editorial Advanced Methods in Grid Operation and Planning With High Penetration of Distributed Energy Resources
inferredcites →https://doi.org/10.1140/epjp/s13360-021-01171-yopenalex-snapshot
Evolutionary computing for nonlinear singular boundary value problems using neural network, genetic algorithm and active-set algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4724025openalex-extracted
International Collaborations and Hotspots in Power Systems and New Energy Research: A Bibliometric Analysis
inferred← citeshttps://doi.org/10.1109/cespe64643.2024.00042openalex-snapshot
Research on Enhancing Security and Energy Efficiency of Smart Grid Distribution Systems Through the Integration of Environmentally-Friendly Gas Insulation Technology
inferred← citeshttps://doi.org/10.1109/icpee64457.2024.10949915openalex-snapshot
Power Planning Methods Considering Boundary Uncertainties
inferred← citeshttps://doi.org/10.3389/fenrg.2024.1424928openalex-snapshot
Leveraging heterogeneous networks to analyze energy storage systems in power systems and renewable energy research: a scientometric study
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.