Progress on the demand side management in smart grid and optimization approaches
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
Challenges with renewable energy sources and storage in practical distribution systems
B Muruganantham, R Gnanadass, NP Padhy - Renewable and Sustainable …, 2017 - Elsevier
The intuition of the power distribution system is to supply good quality of power to the
customers with cost-effectively and environment friendly. Renewable energy resources …
customers with cost-effectively and environment friendly. Renewable energy resources …
Energy demand side management within micro-grid networks enhanced by blockchain
The management of energy supply and demand is becoming more challenging, especially
in regions where the demand continues to grow rapidly and more intermittent renewable …
in regions where the demand continues to grow rapidly and more intermittent renewable …
An intelligent load management system with renewable energy integration for smart homes
Demand side management (DSM) will play a significant role in the future smart grid by
managing loads in a smart way. DSM programs, realized via home energy management …
managing loads in a smart way. DSM programs, realized via home energy management …
Green energy scheduling for demand side management in the smart grid
Demand side management (DSM) is an essential property of smart grid systems. Along with
increasing expectations related to power quality from customers, and as new types of loads …
increasing expectations related to power quality from customers, and as new types of loads …
Multiobjective optimization for demand side management program in smart grid
Demand side management (DSM) plays an important role in smart grid for paving the way to
a low-carbon future. In this paper, a hierarchical day-ahead DSM model is proposed, where …
a low-carbon future. In this paper, a hierarchical day-ahead DSM model is proposed, where …
Multiobjective optimization technique for demand side management with load balancing approach in smart grid
K Muralitharan, R Sakthivel, Y Shi - Neurocomputing, 2016 - Elsevier
Power companies are unable to withstand the consumer power requirement due to growing
population, industries and buildings. The use of automated electrical appliances have …
population, industries and buildings. The use of automated electrical appliances have …
A survey on behind the meter energy management systems in smart grid
Over the last few years, the fast-growing energy needs across the world have intensified a
central challenge: how to reduce the generation and operation costs in power systems and …
central challenge: how to reduce the generation and operation costs in power systems and …
An innovative approach for forecasting of energy requirements to improve a smart home management system based on BLE
M Collotta, G Pau - IEEE Transactions on Green …, 2017 - ieeexplore.ieee.org
Smart grid applications are becoming increasingly popular, as they aim to meet the energy
requirements with innovative solutions by integrating the latest digital communications and …
requirements with innovative solutions by integrating the latest digital communications and …
Reinforcement learning in energy trading game among smart microgrids
Reinforcement learning (RL) is essential for the computation of game equilibria and the
estimation of payoffs under incomplete information. However, it has been a challenge to …
estimation of payoffs under incomplete information. However, it has been a challenge to …