Energy Management With a World-Wide Adaptive Thermostat Using Fuzzy Inference System
Reads0
Chats0
TLDR
This research will provide a model for extending the region specific solutions for a worldwide adaption of fuzzy logic-based strategy for the construction of fuzzy controller covering the entire globe.Abstract:
Energy management of residential buildings plays an important role in a smart grid. Region specific fuzzy logic strategies are proposed recently. However, no such approach exists that covers all regions of the world. A fuzzy logic-based strategy for the construction of fuzzy controller covering the entire globe would be cost effective due to the increasing power of micro-controllers. Results show that our proposed approach achieves a minimum energy savings of 6.5%, irrespective of where it is used around the world. This research will provide a model for extending the region specific solutions for a worldwide adaption.read more
Citations
More filters
Proceedings ArticleDOI
Towards Buildings Energy Management: Using Seasonal Schedules Under Time of Use Pricing Tariff via Deep Neuro-Fuzzy Optimizer
Sakeena Javaid,Muhammad Ibrahim Abdullah,Nadeem Javaid,Tanzeela Sultana,Jawad Ahmed,Norin Abdul Sattar +5 more
TL;DR: This work introduces the deep neuro-fuzzy optimizer for effective load and cost optimization and shows the robustness of optimizer in cost optimize and energy efficiency.
Journal ArticleDOI
Operation Strategy of Smart Thermostats That Self-Learn User Preferences
TL;DR: A Bayesian-inference-based method that can quickly learn user preferences with a limited number of user behavior observations and derive the optimal temperature setting schedule is proposed, which can conveniently enjoy a customized temperature zone with a lower overall cost.
Journal ArticleDOI
An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System
TL;DR: This paper presents a hardware testbed for testing the building energy management system (BEMS) based-on the multi agent system (MAS) and shows better results in optimizing the comfort index and the energy extracted from the grid compared to the existing methods.
Journal ArticleDOI
Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing
TL;DR: A novel optimization approach is developed that re-schedules every fifteen min the appliances for residential consumers to reduce both the consumption peaks and the payments at the community level and dynamically adjust the schedule in case the real consumption deviates from the optimized plan, considering appliances constraints and consumers’ preferences.
Journal ArticleDOI
Fuzzy logic supervisor-based novel energy management strategy reflecting different virtual power plants
TL;DR: In this paper , a fuzzy logic supervisor is used to ensure a consistent power supply between different PV-based power plants in order to solve the problem of power cut and excess energy issues.
References
More filters
Book
Fuzzy Logic with Engineering Applications
TL;DR: This chapter discusses Fuzzy Systems Simulation, specifically the development of Membership Functions and the Extension Principle, and some of the methods used to derive these functions.
Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
Journal ArticleDOI
A summary of demand response in electricity markets
TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.
Journal ArticleDOI
Household response to dynamic pricing of electricity: a survey of 15 experiments
Ahmad Faruqui,Sanem Sergici +1 more
TL;DR: In this article, the authors survey the evidence from the 15 most recent pilots, experiments and full-scale implementations of dynamic pricing of electricity and find conclusive evidence that households respond to higher prices by lowering usage.
Journal ArticleDOI
Survey A survey of routing protocols for smart grid communications
TL;DR: This survey is the first to identify routing design issues for the SG and categorize the proposed routing protocols from the SG applications perspective and provides a comprehensive survey of the existing routing research and analyze the advantages and disadvantages of the proposed protocols with respect different applications areas.