Comparison between Adam, AdaMax and Adam W optimizers to implement a Weather Forecast based on Neural Networks for the Andean city of Quito
R Llugsi, S El Yacoubi, A Fontaine… - 2021 IEEE Fifth …, 2021 - ieeexplore.ieee.org
The main function of an optimizer is to determine in what measure to change the weights
and the learning rate of the neural network to reduce losses. One of the best known …
and the learning rate of the neural network to reduce losses. One of the best known …
[HTML][HTML] A systematic review of data pre-processing methods and unsupervised mining methods used in profiling smart meter data
FM Dahunsi, AE Olawumi, DT Ale… - AIMS Electronics and …, 2021 - aimspress.com
The evolution of smart meters has led to the generation of high-resolution time-series data-a
stream of data capable of unveiling valuable knowledge from consumption behaviours for …
stream of data capable of unveiling valuable knowledge from consumption behaviours for …
[HTML][HTML] Analysis of Qatar's electricity landscape: Insights from load profiling, clustering, and policy recommendations
Demand side management (DSM) is an important strategy for promoting sustainable
consumption in resource-rich countries with high purchasing power and subsidized tariffs …
consumption in resource-rich countries with high purchasing power and subsidized tariffs …
Hierarchical smart meter data hub initiative for enabling IoT based smart grid in Indonesia
Although the internet has been penetrating Indonesia for more than 20 years, data
connectivity remains one of the concerning issues especially in the energy sector. Energy …
connectivity remains one of the concerning issues especially in the energy sector. Energy …
Deep learning to implement a statistical weather forecast for the andean city of quito
RL Cañar, A Fontaine, PL Morillo… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
A weather forecast is classically based on the use of a Physical Model computing
information from Conventional Weather Stations (CWS), Automatic Weather Stations (AWS) …
information from Conventional Weather Stations (CWS), Automatic Weather Stations (AWS) …
Research on Anomaly Detection of Smart Meters Data Based on Feature Clustering Method
Z Chen, L Guo, Y Du, X Dong… - 2021 IEEE/IAS …, 2021 - ieeexplore.ieee.org
In recent years, electricity market has developed rapidly, the market trading modes and
electricity price system have become more diversified. Because of these, energy metering is …
electricity price system have become more diversified. Because of these, energy metering is …
Implementing a scalable data management system for collected data by smart meters
F Farahani, F Rezaei - 2021 26th International Computer …, 2021 - ieeexplore.ieee.org
The Internet of things (IoT) is generating a huge amount of data and big data management is
of key importance. One of the important applications of IoT is smart meter networks and one …
of key importance. One of the important applications of IoT is smart meter networks and one …
Electrical Load Analysis to Aid Demand Side Management: The Case of Qatar
H Monawwar - 2023 - search.proquest.com
Demand side management (DSM) is an important strategy for promoting sustainable
consumption in resource-rich countries with high purchasing power and subsidized tariffs …
consumption in resource-rich countries with high purchasing power and subsidized tariffs …
Applications of Big Data and Data Science in the Electricity Distribution Grid-State-of-the-art
K Ingebrigtsen, V Hoffmann - SINTEF Rapport, 2020 - sintef.brage.unit.no
Almost every household in Norway has a smart electricity meter installed. The advanced
functionality of the meters and the large amounts of data transmitted from them have the …
functionality of the meters and the large amounts of data transmitted from them have the …