A review of the development of Smart Grid technologies
ML Tuballa, ML Abundo - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Energy sustainability and environmental preservation have become worldwide concerns
with the many manifestations of climate change and the continually increasing demand for …
with the many manifestations of climate change and the continually increasing demand for …
Big data analytics in chemical engineering
Big data analytics is the journey to turn data into insights for more informed business and
operational decisions. As the chemical engineering community is collecting more data …
operational decisions. As the chemical engineering community is collecting more data …
Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
This paper presents a recurrent neural network model to make medium-to-long term
predictions, ie time horizon of⩾ 1 week, of electricity consumption profiles in commercial and …
predictions, ie time horizon of⩾ 1 week, of electricity consumption profiles in commercial and …
Community energy storage: A smart choice for the smart grid?
Energy storage can help integrate local renewable generation, however the best
deployment level for storage remains an open question. Using a data-driven approach, this …
deployment level for storage remains an open question. Using a data-driven approach, this …
The impacts of storing solar energy in the home to reduce reliance on the utility
There has been growing interest in using energy storage to capture solar energy for later
use in the home to reduce reliance on the traditional utility. However, few studies have …
use in the home to reduce reliance on the traditional utility. However, few studies have …
Clustering analysis of residential electricity demand profiles
Little is known about variations in electricity use at finely-resolved timescales, or the drivers
for those variations. Using measured electricity use data from 103 homes in Austin, TX, this …
for those variations. Using measured electricity use data from 103 homes in Austin, TX, this …
Residential load and rooftop PV generation: an Australian distribution network dataset
Despite the rapid uptake of small-scale solar photovoltaic (PV) systems in recent years,
public availability of generation and load data at the household level remains very limited …
public availability of generation and load data at the household level remains very limited …
Smart meter data-driven evaluation of operational demand response potential of residential air conditioning loads
N Qi, L Cheng, H Xu, K Wu, XL Li, Y Wang, R Liu - Applied Energy, 2020 - Elsevier
Residential air conditioning loads (ACLs) are promising demand response (DR) resources
with a certain flexibility and controllability that can enhance the operational flexibility and …
with a certain flexibility and controllability that can enhance the operational flexibility and …
Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider
Advanced metering technologies coupled with informatics creates an opportunity to form
digital multi-utility service providers. These providers will be able to concurrently collect a …
digital multi-utility service providers. These providers will be able to concurrently collect a …
From active distribution systems to decentralized microgrids: A review on regulations and planning approaches based on operational factors
Restructuring of power systems along with the integration of renewable energy resources in
electricity networks have transformed traditional distribution networks (DNs) into new active …
electricity networks have transformed traditional distribution networks (DNs) into new active …