[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 …

A systematic review of the smart home literature: A user perspective

D Marikyan, S Papagiannidis, E Alamanos - Technological Forecasting and …, 2019 - Elsevier
A smart home is a residence equipped with smart technologies aimed at providing tailored
services for users. Smart technologies make it possible to monitor, control and support …

A review of smart cities based on the internet of things concept

S Talari, M Shafie-Khah, P Siano, V Loia, A Tommasetti… - Energies, 2017 - mdpi.com
With the expansion of smart meters, like the Advanced Metering Infrastructure (AMI), and the
Internet of Things (IoT), each smart city is equipped with various kinds of electronic devices …

Energy storage in the energy transition context: A technology review

AB Gallo, JR Simões-Moreira, HKM Costa… - … and sustainable energy …, 2016 - Elsevier
Concerns about climate change as well as fossil fuel usage restrictions motivate the energy
transition to a sustainable energy sector requiring very high penetration level of renewable …

Review of energy system flexibility measures to enable high levels of variable renewable electricity

PD Lund, J Lindgren, J Mikkola, J Salpakari - Renewable and sustainable …, 2015 - Elsevier
The paper reviews different approaches, technologies, and strategies to manage large-scale
schemes of variable renewable electricity such as solar and wind power. We consider both …

Iot-based smart cities: A survey

H Arasteh, V Hosseinnezhad, V Loia… - 2016 IEEE 16th …, 2016 - ieeexplore.ieee.org
Due to the growing developments in advanced metering and digital technologies, smart
cities have been equipped with different electronic devices on the basis of Internet of Things …

Load forecasting, dynamic pricing and DSM in smart grid: A review

AR Khan, A Mahmood, A Safdar, ZA Khan… - … and Sustainable Energy …, 2016 - Elsevier
Load forecasting (LF) plays important role in planning and operation of power systems. It is
envisioned that future smart grids will utilize LF and dynamic pricing based techniques for …

Understanding household energy consumption behavior: The contribution of energy big data analytics

K Zhou, S Yang - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Understanding and changing household energy consumption behavior are considered as
effective ways to improve energy efficiency and promote energy conservation. With the …

Review and classification of barriers and enablers of demand response in the smart grid

N Good, KA Ellis, P Mancarella - Renewable and Sustainable Energy …, 2017 - Elsevier
Demand for flexibility in electricity systems and the transition to the Smart Grid is increasing
opportunities for demand response (DR). However, there are many barriers which prevent …

Social barriers to the adoption of smart homes

N Balta-Ozkan, R Davidson, M Bicket, L Whitmarsh - Energy policy, 2013 - Elsevier
The aim of this paper is to explore social barriers to the adoption of smart homes through the
analysis of expert views and public attitudes. Smart home services aim to improve the …