Local flexibility markets: Literature review on concepts, models and clearing methods

X Jin, Q Wu, H Jia - Applied Energy, 2020 - Elsevier
With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …

Using the internet of things in smart energy systems and networks

T Ahmad, D Zhang - Sustainable Cities and Society, 2021 - Elsevier
Private businesses and policymakers are accelerating the deployment and advancement of
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 …

Demand response for home energy management using reinforcement learning and artificial neural network

R Lu, SH Hong, M Yu - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
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 …

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 …

An overview of Demand Response: Key-elements and international experience

NG Paterakis, O Erdinç, JPS Catalão - Renewable and Sustainable Energy …, 2017 - Elsevier
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 …

A novel intelligent technique for energy management in smart home using internet of things

P Rajesh, FH Shajin, G Kannayeram - Applied Soft Computing, 2022 - Elsevier
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 …

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 …

A survey of industrial applications of Demand Response

MH Shoreh, P Siano, M Shafie-khah, V Loia… - Electric Power Systems …, 2016 - Elsevier
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 …

Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management

R Lu, YC Li, Y Li, J Jiang, Y Ding - Applied Energy, 2020 - Elsevier
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 …