Local flexibility markets: Literature review on concepts, models and clearing methods
With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …
systems are facing new operational challenges due to their intermittency and uncertainty. To …
Using the internet of things in smart energy systems and networks
Private businesses and policymakers are accelerating the deployment and advancement of
smart grid technology innovations that can support smart energy systems. Technological …
smart grid technology innovations that can support smart energy systems. Technological …
A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems
C Li, G Li, K Wang, B Han - Energy, 2022 - Elsevier
In the integrated energy system with small samples, insufficient data limits the accuracy of
energy load forecasting and thereafter affects the system's economic operation and optimal …
energy load forecasting and thereafter affects the system's economic operation and optimal …
Demand response for home energy management using reinforcement learning and artificial neural network
Ever-changing variables in the electricity market require energy management systems
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …
A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach
R Lu, SH Hong, X Zhang - Applied energy, 2018 - Elsevier
With the modern advanced information and communication technologies in smart grid
systems, demand response (DR) has become an effective method for improving grid …
systems, demand response (DR) has become an effective method for improving grid …
An overview of Demand Response: Key-elements and international experience
The increasing penetration of renewable energy sources (RES) in power systems intensifies
the need of enhancing the flexibility in grid operations in order to accommodate the …
the need of enhancing the flexibility in grid operations in order to accommodate the …
A novel intelligent technique for energy management in smart home using internet of things
This manuscript proposes a hybrid method for energy management system (EMS) in smart
home using internet of things (IoT). The proposed hybrid method is hybrid wrapper of both …
home using internet of things (IoT). The proposed hybrid method is hybrid wrapper of both …
Optimal management of energy hubs and smart energy hubs–a review
M Mohammadi, Y Noorollahi… - … and Sustainable Energy …, 2018 - Elsevier
The increase of environmental concerns, scarcity of fossil fuel resources, uncontrolled
growth of demand, along with the development of efficient multi-generation systems have …
growth of demand, along with the development of efficient multi-generation systems have …
A survey of industrial applications of Demand Response
Industrial consumers have traditionally provided flexibility for power systems through various
Demand Response (DR) programs in different regions of the world, but below their real …
Demand Response (DR) programs in different regions of the world, but below their real …
Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management
With advances in smart grid technologies, demand response has played a major role in
improving the reliability of grids and reduce the cost for customers. Implementing the …
improving the reliability of grids and reduce the cost for customers. Implementing the …