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Optimizing Smart Grid Energy Consumption with Jemadar-Ai: An Edge Device Scheduling Architecture

https://doi.org/10.2139/ssrn.4809285
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A Hybrid Bat-Crow Search Algorithm Based Home Energy Management in Smart Grid
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A fog based load forecasting strategy based on multi-ensemble classification for smart grids
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Smart electrical grids based on cloud, IoT, and big data technologies: state of the art
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Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data
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Key communication technologies, applications, protocols and future guides for IoT-assisted smart grid systems: A review
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Existing Developments in Adaptive Smart Grid Protection: A Review
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Overview of smart grid implementation: Frameworks, impact, performance and challenges
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From big data to smart energy services: An application for intelligent energy management
inferredcites →https://doi.org/10.1016/j.future.2019.02.012openalex-extracted
IoT-enabled smart grid via SM: An overview
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A systematic literature review of IoT time series anomaly detection solutions
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Stochastic multi-objective economic-environmental energy and reserve scheduling of microgrids considering battery energy storage system
inferredcites →https://doi.org/10.1016/j.ijepes.2019.06.001openalex-extracted
A bridge between the smart grid and the Internet of Things: Theoretical and practical roles of LoRa
inferredcites →https://doi.org/10.1016/j.jnca.2020.102531openalex-extracted
Fog-based smart homes: A systematic review
inferredcites →https://doi.org/10.1016/j.neucom.2015.11.015openalex-extracted
Multiobjective optimization technique for demand side management with load balancing approach in smart grid
inferredcites →https://doi.org/10.1016/j.renene.2019.08.092openalex-extracted
A survey on smart grid technologies and applications
inferredcites →https://doi.org/10.1016/j.seta.2021.101474openalex-extracted
Study and analysis of SARIMA and LSTM in forecasting time series data
inferredcites →https://doi.org/10.1038/s41597-019-0212-5openalex-extracted
The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea
inferredcites →https://doi.org/10.1038/s41597-020-0434-6openalex-extracted
A synthetic energy dataset for non-intrusive load monitoring in households
inferredcites →https://doi.org/10.1109/access.2020.3041178openalex-extracted
Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications
inferredcites →https://doi.org/10.1109/icc.2015.7248934openalex-extracted
Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing
inferredcites →https://doi.org/10.1109/iwcmc.2018.8450506openalex-extracted
A Cloud-Fog-Based Smart Grid Model for Efficient Resource Utilization
inferredcites →https://doi.org/10.1109/iwcmc.2019.8766699openalex-extracted
A Fog Computing Architecture for Energy Demand Scheduling in Smart Grid
inferredcites →https://doi.org/10.1109/iwcmc.2019.8766702openalex-extracted
A Cloud and Fog based Architecture for Energy Management of Smart City by using Meta-heuristic Techniques
inferredcites →https://doi.org/10.1109/jiot.2019.2894326openalex-extracted
Smart Energy Management and Demand Reduction by Consumers and Utilities in an IoT-Fog-Based Power Distribution System
inferredcites →https://doi.org/10.1109/mwc.2019.1800356openalex-extracted
Fog Computing for Smart Grid Systems in the 5G Environment: Challenges and Solutions
inferredcites →https://doi.org/10.14257/ijsh.2015.9.10.21openalex-extracted
Home Electricity Consumption Monitoring Enhancement Using Smart Device Status Information
inferredcites →https://doi.org/10.3390/en11040888openalex-extracted
Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization for Smart Homes
inferredcites →https://doi.org/10.3390/su10062079openalex-extracted
Cloud–Fog–Based Smart Grid Model for Efficient Resource Management
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