Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …

The concept of smart sustainable cities—as a favorable response to different challenges
faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has …

In this study, a model is presented to obtain the parameters of penalty and reward scheme
(PRS) in performance-based regulation (PBR) for each electricity distribution company …

A regulatory framework is presented to motivate distribution companies (DISCOs) to install
energy storage systems (ESSs) in their distribution system. The reward-penalty schemes …

This paper introduces a new fuzzy‐based design procedure for more efficient application of
reward‐penalty schemes in distribution sector. To achieve a fair as well as applicable …

In each regulatory period, the parameters of the reward and penalty scheme (RPS) vary
based on the investment made by electricity distribution companies (EDCs) and imposed …

In this paper, a decision-making model for the appropriate implementation of the reward and
penalty scheme (RPS) for electricity distribution companies (EDCs) is presented to be used …

An important significance of restructuring in power industry is the emergence of regulatory
performance indices in the power distribution companies. Reward-penalty scheme is a …

There has been an increasing interest in smart cities and digital technology/information to
enhance the quality of services, while reducing costs and resource consumption. Hence, the …

This paper proposes an approach to enhance the reliability regulation based on the relative
performance. In the proposed approach, the distribution system feeders are clustered based …