Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

Market models and optimization techniques to support the decision-making on demand response for prosumers

WN Silva, LF Henrique, AFPC Silva, BH Dias… - Electric Power Systems …, 2022 - Elsevier
Demand Response (DR) programs are essential for easing end-user demand on the power
system, adding benefits across the power sector by reducing peak demand and power flow …

Stochastic energy management for a renewable energy based microgrid considering battery, hydrogen storage, and demand response

N Eghbali, SM Hakimi, A Hasankhani… - … Energy, Grids and …, 2022 - Elsevier
This paper presents a stochastic management algorithm to address the optimal operation of
smart microgrids (MGs) in the high presence of stochastic renewable energy resources. The …

Research on optimal allocation strategy of multiple energy storage in regional integrated energy system based on operation benefit increment

F Luo, J Shao, Z Jiao, T Zhang - International Journal of Electrical Power & …, 2021 - Elsevier
Wind power generation curve generally has the reverse characteristic with the peak
regulation of electricity load curve, which will lead to serious wind abandonment and energy …

The balanced window-based load event optimal matching for NILM

B Liu, W Luan, J Yang, Y Yu - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Load event matching is the key for event-based non-intrusive load monitoring (NILM). It aims
to find the load event sequence corresponding to the appliance's operation cycle from all …

Incentive based demand response program for power system flexibility enhancement

B Mohandes, MS El Moursi… - … on Smart Grid, 2020 - ieeexplore.ieee.org
This article proposes a DR program characterized by a novel compensation scheme. The
proposed scheme recognizes the different characteristics of curtailment, such as the total …

Coordinated operation and planning of integrated electricity and gas community energy system with enhanced operational resilience

C Lv, H Yu, P Li, K Zhao, H Li, S Li - IEEE Access, 2020 - ieeexplore.ieee.org
The coupling in integrated electricity and gas community energy system (IEGS) provides
alternative operation modes when unpredictable outages occur at energy-supply sides …

Home energy management optimization method considering potential risk cost

X Kong, B Sun, D Kong, B Li - Sustainable Cities and Society, 2020 - Elsevier
With the popularization of smart power consumption technology, users can optimize the use
of electrical equipment through a home energy management system (HEMS), thereby …

Non-intrusive power waveform modeling and identification of air conditioning load

W Luan, Z Wei, B Liu, Y Yu - Applied Energy, 2022 - Elsevier
As a typical flexible load, air conditioner (AC) can play a crucial role in improving energy
efficiency and optimizing power grid operation. However, due to its continuously variable …

Peer-to-peer electricity transaction decisions of the user-side smart energy system based on the SARSA reinforcement learning

D Wang, B Liu, H Jia, Z Zhang, J Chen… - CSEE Journal of …, 2020 - ieeexplore.ieee.org
With the deep integration of advanced information technologies, such as artificial
intelligence and traditional energy technologies, smart energy systems have been proposed …