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[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 …
Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking
The intermittency of carbon-free renewables and the demand changes associated with the
widespread push for electrifying the transportation and building sectors provides an …
widespread push for electrifying the transportation and building sectors provides an …
Anomaly detection in smart grid data: An experience report
In recent years, we have been witnessing profound transformation of energy distribution
systems fueled by Information and Communication Technologies (ICT), towards the so …
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 …
Response (DR) programs using real electricity data collected from customers over time by …
Collaborative data analytics for smart buildings: opportunities and models
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 …
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
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 …
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
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 …
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 …
Online platforms like OpenStreetMap or in real estate portals. Harvesting such data with the …
[PDF][PDF] Protecting sensitive attributes via generative adversarial networks
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 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 …
forecasting. The smart management of energy became the key note for many researchers in …