[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

I Antonopoulos, V Robu, B Couraud, D Kirli… - … and Sustainable Energy …, 2020 - Elsevier
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 …

Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking

A Andrews, RK Jain - Applied Energy, 2022 - Elsevier
The intermittency of carbon-free renewables and the demand changes associated with the
widespread push for electrifying the transportation and building sectors provides an …

Anomaly detection in smart grid data: An experience report

B Rossi, S Chren, B Buhnova… - 2016 ieee international …, 2016 - ieeexplore.ieee.org
In recent years, we have been witnessing profound transformation of energy distribution
systems fueled by Information and Communication Technologies (ICT), towards the so …

Smart meter data analytics for optimal customer selection in demand response programs

M Martinez-Pabon, T Eveleigh, B Tanju - Energy Procedia, 2017 - Elsevier
This paper describes a methodology to predict customers' eligibility to participate in Demand
Response (DR) programs using real electricity data collected from customers over time by …

Collaborative data analytics for smart buildings: opportunities and models

S Lazarova-Molnar, N Mohamed - Cluster Computing, 2019 - Springer
Smart buildings equipped with state-of-the-art sensors and meters are becoming more
common. Large quantities of data are being collected by these devices. For a single building …

A meta-analytic approach for determining the success factors for energy conservation

RK Ahir, B Chakraborty - Energy, 2021 - Elsevier
This study aims to identify the factors decisive for realizing energy conservation through data
analytics. A meta-analytic based approach is used to present the comprehensive and …

A retrofit design science methodology for smart metering design in develo** countries

JQ Azasoo, KO Boateng - 2015 15th International Conference …, 2015 - ieeexplore.ieee.org
Traditional meters present both the users and utilities providers with various challenges in
develo** countries. For instance utility providers must get access to their users' premises …

Mining volunteered geographic information for predictive energy data analytics

K Hopf - Energy Informatics, 2018 - Springer
Background Users create serious amounts of Volunteered Geographic Information (VGI) in
Online platforms like OpenStreetMap or in real estate portals. Harvesting such data with the …

[PDF][PDF] Protecting sensitive attributes via generative adversarial networks

A Rezaei, C **ao, J Gao, B Li - arxiv preprint arxiv:1812.10193, 2018 - researchgate.net
Recent advances in computing have allowed for the possibility to collect large amounts of
data on personal activities and private living spaces. Collecting and publishing a dataset in …

Data analytics to increase efficiency of the AI based energy consumption predictor

S Das, TK Choudhury… - … Intelligence for Smart …, 2020 - ieeexplore.ieee.org
These days most of the developed countries have been focusing on energy consumption
forecasting. The smart management of energy became the key note for many researchers in …