NILM applications: Literature review of learning approaches, recent developments and challenges

GF Angelis, C Timplalexis, S Krinidis, D Ioannidis… - Energy and …, 2022 - Elsevier
This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …

[HTML][HTML] Review of virtual power plant operations: Resource coordination and multidimensional interaction

H Gao, T **, C Feng, C Li, Q Chen, C Kang - Applied Energy, 2024 - Elsevier
Virtual power plants (VPPs) have become an important technological means for large-scale
distributed energy resources to participate in the operation of power systems and electricity …

Multiscale modeling in smart cities: A survey on applications, current trends, and challenges

A Khan, S Aslam, K Aurangzeb, M Alhussein… - Sustainable cities and …, 2022 - Elsevier
A smart city model views the city as a complex adaptive system consisting of services,
resources, and citizens that learn through interaction and change in both the spatial and …

Towards electric price and load forecasting using cnn-based ensembler in smart grid

S Aslam, N Ayub, U Farooq, MJ Alvi, FR Albogamy… - Sustainability, 2021 - mdpi.com
Medium-term electricity consumption and load forecasting in smart grids is an attractive topic
of study, especially using innovative data analysis approaches for future energy …

Renewable energy: is it a global challenge or opportunity? Focusing on different income level countries through Panel Smooth Transition Regression Model

A Ullah, Q Zhang, SA Raza, S Ali - Renewable Energy, 2021 - Elsevier
In the 21st century, climate change is a severe threat to the survival of the planet and
humanity; to counter this threat, the significant role of renewable energy cannot be denied …

[HTML][HTML] A novel dynamic pricing model for a microgrid of prosumers with photovoltaic systems

V Boiarkin, M Rajarajan, J Al-Zaili, W Asif - Applied Energy, 2023 - Elsevier
Due to the growing demand for electricity and the increasing number of consumers who can
produce energy (prosumers) using photovoltaic systems today, energy generated by …

An optimal home energy management system with integration of renewable energy and energy storage with home to grid capability

A Mohammad, M Zuhaib, I Ashraf - International Journal of …, 2022 - Wiley Online Library
Residential building consumes a significant amount of energy. To address the issue, these
structures have been supplied with renewable energy sources (RES), an energy storage …

A discount-based time-of-use electricity pricing strategy for demand response with minimum information using reinforcement learning

A Fraija, K Agbossou, N Henao, S Kelouwani… - IEEE …, 2022 - ieeexplore.ieee.org
Demand Response (DR) programs show great promise for energy saving and load profile
flattening. They bring about an opportunity for indirect control of end-users' demand based …

A strategy for multi-objective energy optimization in smart grid considering renewable energy and batteries energy storage system

A Alzahrani, MU Rahman, G Hafeez, G Rukh… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-objective energy optimization is pivotal for reliable and secure power system
operation. However, multi-objective energy optimization is challenging due to …

BIM and BEM methodologies integration in energy-efficient buildings using experimental design

J González, CAP Soares, M Najjar, AN Haddad - Buildings, 2021 - mdpi.com
Linking Building Information Modelling and Building Energy Modelling methodologies
appear as a tool for the energy performance analysis of a dwelling, being able to build the …