[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
[HTML][HTML] Market mechanisms for local electricity markets: A review of models, solution concepts and algorithmic techniques
The rapidly increasing penetration of distributed energy resources (DERs) calls for a
hierarchical framework where aggregating entities handle the energy management …
hierarchical framework where aggregating entities handle the energy management …
Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
An operating entity utilizing community-integrated energy systems with a large number of
small-scale distributed energy sources can easily trade with existing distribution markets. To …
small-scale distributed energy sources can easily trade with existing distribution markets. To …
Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …
increase the sustainability of energy systems while reducing associated costs. Despite this …
Fuzzy energy management controller and scheduler for smart homes
The integration of information and communication technologies in traditional grid brings
about a smart grid. Energy management plays a vital role in maintaining the sustainability …
about a smart grid. Energy management plays a vital role in maintaining the sustainability …
Electric efficiency indicators and carbon dioxide emission factors for power generation by fossil and renewable energy sources on hourly basis
The power system has faced unprecedented challenges in the last decade caused by many
factors: the introduction of the open electricity market, the diffusion of distributed generation …
factors: the introduction of the open electricity market, the diffusion of distributed generation …
Optimal dynamic pricing for an electricity retailer in the price-responsive environment of smart grid
The main purpose of this study is to support a retail electric provider (REP) to make the best
day-ahead dynamic pricing decisions in a realistic scenario. These decisions are made with …
day-ahead dynamic pricing decisions in a realistic scenario. These decisions are made with …
Artificial intelligence application in demand response: Advantages, issues, status, and challenges
In recent years, there has been a significant growth in demand response (DR) as a cost-
effective technique of providing flexibility and, as a result, improving the dependability of …
effective technique of providing flexibility and, as a result, improving the dependability of …
Consumers' Intentions to Spread Negative Word of Mouth About Dynamic Pricing for Services: Role of Confusion and Unfairness Perceptions
S Bambauer-Sachse, A Young - Journal of Service Research, 2023 - journals.sagepub.com
This paper examines the effects of dynamic pricing versus simple price differentiation for
services through price confusion and price unfairness perceptions on price-disadvantaged …
services through price confusion and price unfairness perceptions on price-disadvantaged …
Bilevel optimization to deal with demand response in power grids: models, methods and challenges
This paper presents a review of selected models, methods, and challenges associated with
the use of bilevel optimization in problems that involve consumers' demand response arising …
the use of bilevel optimization in problems that involve consumers' demand response arising …