New Approach using Artificial Intelligence-Machine Learning in Demand Side Management of Renewable Energy integrated Smart Grid for Smart City

2021 ◽  
Author(s):  
Kiran Chaurasia ◽  
H. Ravishankar Kamath
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Renewable Energy ◽  
Smart Grid ◽  
Smart City ◽  
Demand Side Management ◽  
Demand Side ◽  
New Approach

scholarly journals Intelligent optimization framework for efficient demand-side management in renewable energy integrated smart grid

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hassan Wasim Khan ◽  
Muhammad Usman ◽  
Ghulam Hafeez ◽  
Fahad R. Albogamy ◽  
Imran Khan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side ◽  
Intelligent Optimization ◽  
Optimization Framework

scholarly journals Clustering-Based Energy Management of Residential Loads by using Artificial Intelligence

2021 ◽  
Vol 12 (1) ◽  
pp. 15
Author(s):  
Umair Liaqat ◽  
Muhammad Yousif ◽  
Malik Shah Zeb Ali ◽  
Muhammad Afzal
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Demand Response ◽  
Intelligent Systems ◽  
Supply And Demand ◽  
Demand Side Management ◽  
Demand Side ◽  
Perfect Agreement ◽  
Peak Loads ◽  
Artificial Neural Network Ann

Developing countries have witnessed a remarkable surge in the energy crisis due to the supply and demand gap. One of the solutions to overcome this problem is the optimal use of energy that can be achieved by employing demand side management (DSM) and demand response (DR) methods intelligently. Machine learning and data analysis tools help us create intelligent systems that motivate us to use machine learning to implement DSM/DR programs. In this paper, a novel DSM algorithm is introduced to implement DSM intelligently by using artificial intelligence. The results show an efficient implementation of an artificial neural network (ANN) along with demand side management, whereas the peak and off-peak loads were normalized to a certain range where a perfect agreement between supply and demand can be reached.

scholarly journals Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 77077-77096 ◽  
Author(s):  
Nadeem Javaid ◽  
Ghulam Hafeez ◽  
Sohail Iqbal ◽  
Nabil Alrajeh ◽  
Mohamad Souheil Alabed ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Efficient ◽  
Renewable Energy Sources ◽  
Demand Side Management ◽  
Energy Sources ◽  
Demand Side ◽  
Efficient Integration

scholarly journals DEMAND SIDE MANAGEMENT OF RENEWABLE ENERGY INTEGRATED SMART GRID USING LOAD SHIFTING TECHNIQUES

2020 ◽  
pp. 3193-3199
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Smart Grid ◽  
Energy Management ◽  
Demand Side Management ◽  
Energy Resources ◽  
Management Approach ◽  
Demand Side ◽  
Load Shifting ◽  
The Impact

The Paris Agreement on Climate Change has led to introduction of new reforms for clean power plan such as decarbonization of power sector, planned decommissioning of thermal power plants and inclusion of renewable energies for power production. But this desired integration of renewable energy resources to power system faces two technical challenges: variability and uncertainty. An effective energy management with help of smart grid engineering can be the key for its beneficial use. Demand Side Management (DSM) is a valuable strategy for energy management in smart grid. It supports numerous smart grid functionalities for instance electricity market control, Load scheduling, managing decentralized distributed energy resources. Identifying energy consumption patterns and to sketch electricity load profiles can be achieved through numerous DSM based programs. Load shifting based DSM can be linked to consumer’s behavior in understanding their pattern of energy consumption. Here, the practiced load shifting based demand side management approach can help in maximizing power efficiency, sustaining power reliability and resiliency of renewable sources. This paper reviews the various energy management strategies developed to minimize the impact of renewable energy intermittency using Load Shifting Demand Side Management (DSM) approach.

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