ArticleiScience2025
A hybrid demand-side policy for balanced economic emission in microgrid systems.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- User-driven potential for scalable, cost-effective, and flexible vehicle-to-grid resources in China.iScience · 2026Article
- Optimal reactive power dispatch based on a multitask-assisted constrained multimodal multi-objective evolutionary algorithm.iScience · 2026Article
- An enhanced energy management framework based on artificial gorilla troops for optimal operation of grid-connected multi-nanogrids.Scientific reports · 2026Article
- Integrated energy scheduling for grid-connected microgrids using battery degradation-aware optimization and coordinated control strategies.Scientific reports · 2025Article
- Lightweight machine learning framework using temporal features for electric vehicle demand response forecasting on edge devices.Scientific reports · 2025Article
- A economic optimal dispatch model for combined heat and power microgrids supporting china's carbon neutrality.Scientific reports · 2025Article
- A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems.Scientific reports · 2025Article
- Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Demand-side management (DSM) enhances distribution network efficiency by shifting or reducing loads, alleviating network stress. The Load Shifting Policy (LSP) reallocates flexible loads to low-price periods without altering total demand, while the Load Curtailing Policy (LCP) incentivizes consumers to reduce peak demand. This study introduces a hybrid DSM approach that combines LSP and LCP with a smart charging strategy for plug-in hybrid electric vehicles (PHEVs). Using the hybrid load shifting and curtailment policy (HLSCP), the microgrid (MG) load profile was optimized, reducing generation costs from 707¥ for the base load to 682¥ with HLSCP and 676¥ when incorporating smart PHEV charging. Emissions decreased correspondingly, from 1267kg to 1246kg. These results demonstrate the hybrid DSM's capacity to tackle economic and environmental challenges in power systems. The Differential Evolution (DE) optimization method further validated the robustness and efficiency of this cost-effective, sustainable microgrid management approach.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.