Machine learning based demand response scheme for IoT enabled PV integrated smart building

P Balakumar, T Vinopraba… - Sustainable Cities and …, 2023 - Elsevier
The short-term forecasting of electric power consumption and renewable energy generation
with high efficiency and advanced demand side management is essential for improving the …

Efficient energy management of IoT-enabled smart homes under price-based demand response program in smart grid

G Hafeez, Z Wadud, IU Khan, I Khan, Z Shafiq… - Sensors, 2020 - mdpi.com
There will be a dearth of electrical energy in the prospective world due to exponential
increase in electrical energy demand of rapidly growing world population. With the …

Real time implementation of Demand Side Management scheme for IoT enabled PV integrated smart residential building

P Balakumar, T Vinopraba… - Journal of Building …, 2022 - Elsevier
Technological advancements in renewable energy based distributed energy resources on
the demand side, along with communication developments, help households in smart grid …

A two-stage deep convolutional model for demand response energy management system in IoT-enabled smart grid

HS Shreenidhi, NS Ramaiah - Sustainable Energy, Grids and Networks, 2022 - Elsevier
Abstract Home Energy Management System (HEMS) plays an integral role in SG that
optimally schedules the appliances to achieve energy savings, cost reduction, Peak …

An IoT based Intelligent Smart Energy Management System with accurate forecasting and load strategy for renewable generation

P Pawar, M TarunKumar - Measurement, 2020 - Elsevier
The challenge in demand side energy management lays focus on the efficient utilization of
renewable sources without limiting the power consumption. To deal with the above issue, it …

Using real-time electricity prices to leverage electrical energy storage and flexible loads in a smart grid environment utilizing machine learning techniques

M Sheha, K Powell - Processes, 2019 - mdpi.com
With exposure to real-time market pricing structures, consumers would be incentivized to
invest in electrical energy storage systems and smart predictive automation of their home …

A novel smart energy management as a service over a cloud computing platform for nanogrid appliances

BN Alhasnawi, BH Jasim, MD Esteban, JM Guerrero - Sustainability, 2020 - mdpi.com
There will be a dearth of electrical energy in the world in the future due to exponential
increase in electrical energy demand of rapidly growing world population. With the …

Internet of energy-based demand response management scheme for smart homes and PHEVs using SVM

A Jindal, N Kumar, M Singh - Future Generation Computer Systems, 2020 - Elsevier
The usage of information and communication technology (ICT) in the power sector has led to
the emergence of smart grid (SG). The connected loads in SG are able to communicate their …

Residential consumer-centric demand-side management based on energy disaggregation-piloting constrained swarm intelligence: Towards edge computing

YH Lin, YC Hu - Sensors, 2018 - mdpi.com
The emergence of smart Internet of Things (IoT) devices has highly favored the realization of
smart homes in a down-stream sector of a smart grid. The underlying objective of Demand …

Dynamic pricing for load shifting: Reducing electric vehicle charging impacts on the grid through machine learning-based demand response

B Palaniyappan, T Vinopraba - Sustainable Cities and Society, 2024 - Elsevier
A robust smart grid communication network is a critical technology that enables modernized
utilities to change power usage in real-time for optimal supply and demand balance. The …