A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources
The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …
new era of a modernized network where the power generation, transmission, and …
A review of demand-side management: Reconsidering theoretical framework
AF Meyabadi, MH Deihimi - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Demand-side management (DSM) has a crucial role in the attainment of sustainable energy
that aims to optimize the energy utilization and mitigate emissions. Hence, DSM enhances …
that aims to optimize the energy utilization and mitigate emissions. Hence, DSM enhances …
Review of smart meter data analytics: Applications, methodologies, and challenges
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Literature is rich in methodologies for “aggregated” load forecasting which has helped
electricity network operators and retailers in optimal planning and scheduling. The recent …
electricity network operators and retailers in optimal planning and scheduling. The recent …
Optimal battery storage operation for PV systems with tariff incentives
AS Hassan, L Cipcigan, N Jenkins - Applied Energy, 2017 - Elsevier
Many efforts are recently being dedicated to developing models that seek to provide insights
into the techno-economic benefits of battery storage coupled to photovoltaic (PV) generation …
into the techno-economic benefits of battery storage coupled to photovoltaic (PV) generation …
Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings
The proper operation strategy is of great importance for photovoltaic-battery (PVB) systems
to achieve desirable performance. Therefore, it's necessary to identify and evaluate the …
to achieve desirable performance. Therefore, it's necessary to identify and evaluate the …
Artificial intelligence based smart energy community management: A reinforcement learning approach
This paper presents a smart energy community management approach which is capable of
implementing P2P trading and managing household energy storage systems. A smart …
implementing P2P trading and managing household energy storage systems. A smart …
Deep learning-based socio-demographic information identification from smart meter data
Smart meters provide large amounts of data and the value of this data is getting increased
attention because a better understanding of the characteristics of consumers helps utilities …
attention because a better understanding of the characteristics of consumers helps utilities …
A practical feature-engineering framework for electricity theft detection in smart grids
Despite many potential advantages, Advanced Metering Infrastructures have introduced
new ways to falsify meter readings and commit electricity theft. This study contributes a new …
new ways to falsify meter readings and commit electricity theft. This study contributes a new …
Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns
The comprehensive understanding of the residential electricity consumption patterns (ECPs)
and how they relate to household characteristics can contribute to energy efficiency …
and how they relate to household characteristics can contribute to energy efficiency …