[HTML][HTML] Demand response performance and uncertainty: A systematic literature review
The present review has been carried out, resorting to the PRISMA methodology, analyzing
218 published articles. A comprehensive analysis has been conducted regarding the …
218 published articles. A comprehensive analysis has been conducted regarding the …
A bidding strategy for virtual power plants with the intraday demand response exchange market using the stochastic programming
This paper presents a mathematical model for the energy bidding problem of a virtual power
plant (VPP) that participates in the regular electricity market and the intraday demand …
plant (VPP) that participates in the regular electricity market and the intraday demand …
Prioritized aggregation operators for intuitionistic fuzzy information based on Aczel–Alsina T-norm and T-conorm and their applications in group decision-making
In multi-attribute group decision-making (MAGDM) problems, prioritization is sometimes
important. Several techniques and methods have been introduced in fuzzy systems to use …
important. Several techniques and methods have been introduced in fuzzy systems to use …
Data-driven and physical model-based evaluation method for the achievable demand response potential of residential consumers' air conditioning loads
Z Song, J Shi, S Li, Z Chen, F Jiao, W Yang, Z Zhang - Applied Energy, 2022 - Elsevier
Demand response (DR) of thermostatically controlled load (TCL) represented by residential
consumers' air conditioning (AC) is playing an increasingly important role in enhancing the …
consumers' air conditioning (AC) is playing an increasingly important role in enhancing the …
Collaborative energy management for a residential community: A non-cooperative and evolutionary approach
Collaborative demand response management is an effective method to lower the peak-to-
average ratio of demand and to facilitate the integration of locally distributed renewable …
average ratio of demand and to facilitate the integration of locally distributed renewable …
Maximization of CO2 Capture Capacity Using Recent RUNge Kutta Optimizer and Fuzzy Model
This study aims to identify the optimal operating parameters for the carbon dioxide (CO2)
capture process using a combination of artificial intelligence and metaheuristics techniques …
capture process using a combination of artificial intelligence and metaheuristics techniques …
New class up and down pre-invex fuzzy number valued map**s and related inequalities via fuzzy riemann integrals
Numerous applications of the theory of convex and nonconvex map** exist in the fields of
applied mathematics and engineering. In this paper, we have defined a new class of …
applied mathematics and engineering. In this paper, we have defined a new class of …
Adaptive access selection algorithm for multi-service in 5G heterogeneous Internet of Things
5G heterogeneous network system incorporates multiple radio access technologies (RATs),
which enables the massive connection of Internet of things (IoT) devices and popularity of …
which enables the massive connection of Internet of things (IoT) devices and popularity of …
Granular symmetric implicational method
As a means of describing realistic problems, fuzzy sets can be included into the category of
information granules from a broader perspective. Then the interval-valued fuzzy set itself is …
information granules from a broader perspective. Then the interval-valued fuzzy set itself is …
DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks
A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …
data and provide various services for all walks of life. However, limited computing capability …