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Comprehensive framework for smart residential demand side ... nature.com Mar 22, 2025 19 facts
claimThe study published in Nature (https://www.nature.com/articles/s41598-025-93817-5) models energy consumption patterns under three conditions: conventional residential users without Residential Energy Management (REM), smart homes using REM systems, and prosumers integrating REM with Renewable Energy Sources (RES).
claimProsumers can use dynamic scheduling capabilities to adjust energy usage in real time based on changing conditions, such as tariff structures or energy availability.
claimThe study models energy consumption patterns under three conditions: conventional residential users, smart homes utilizing Residential Energy Management (REM) systems, and prosumers who integrate REM with Renewable Energy Sources (RES).
referenceThe study analyzed three scenarios for residential energy management: (1) conventional users without Residential Energy Management (REM), (2) smart homes implementing REM, and (3) prosumers integrating REM with Renewable Energy Sources (RES).
claimProsumers (smart users) utilize Residential Energy Management (REM) architectures, incorporating algorithms like the Salp Swarm Algorithm (SSA) and the Binary Whale Optimization Algorithm (BWOA), to facilitate load shifting and efficient energy scheduling.
claimProsumers (smart users) utilize Residential Energy Management (REM) architectures, such as the Salp Swarm Algorithm (SSA) and the Binary Whale Optimization Algorithm (BWOA), to facilitate load shifting and efficient energy scheduling.
claimThe use of dynamic scheduling by prosumers enhances cost savings, improves energy efficiency, and supports a more stable electrical grid.
referenceThe study evaluated energy and cost savings for residential users through optimized load scheduling by analyzing three scenarios: (1) conventional users without Residential Energy Management (REM), (2) smart homes implementing REM, and (3) prosumers integrating REM with Renewable Energy Sources (RES).
claimA generalized Residential Demand Side Management (RDSM) technique aims to balance available resources with load demand variations, maintain bidirectional energy flow between utilities and consumers (acting as prosumers), and enable consumers to operate independently for most of the time.
claimProsumers strategically manage electric vehicle (EV) charging (Home-to-Vehicle, H2V) and discharging (Vehicle-to-Home, V2H) to optimize energy use and costs, allowing households to act as both energy consumers and suppliers.
claimElectric vehicles can support grid stability, flexibility, and energy regulation alongside energy storage devices and renewable energy sources, particularly when consumers act as prosumers during periods of excess energy availability.
claimThe Residential Energy Management System (REMS) supports three user types: conventional consumers, smart home users with REMS, and prosumers who supply surplus energy to the grid.
claimElectric vehicles can support grid stability, flexibility, and energy regulation, particularly when residential consumers act as prosumers during periods of excess energy availability.
claimThe study models and simulates energy consumption patterns under three conditions: conventional residential users without Residential Energy Management (REM), smart homes utilizing REM systems, and prosumers integrating REM with Renewable Energy Sources (RES), all using Time-of-Use (ToU) based tariffs.
claimIntelligent users and prosumers actively engage in optimizing energy usage and contributing to the broader energy ecosystem, whereas traditional users remain passive participants.
procedureProsumers reduce their reliance on grid energy by following this procedure: (1) utilize stored Renewable Energy Sources during peak periods, and (2) schedule energy-intensive tasks during off-peak hours.
claimThe Residential Energy Management System (REMS) supports three user types: conventional consumers, smart home users with REMS, and prosumers who supply surplus energy to the grid.
claimThe Smart Scheduler (SS) for load scheduling enhances prosumer participation in Demand Side Management (DSM) and Demand Response (DR) programs by enabling residential users to optimize load profiles, align energy use with utility incentives, and reduce peak demand.
claimBy combining Residential Energy Management (REM) architectures with on-site Renewable Energy Sources (RES), such as photovoltaic (PV) systems, and leveraging differential pricing mechanisms, prosumers can reduce electricity costs while contributing to grid stability and sustainability.