Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …
autonomous software that optimizes decision-making and energy distribution operations …
A machine-learning ensemble model for predicting energy consumption in smart homes
Smart homes incorporate several devices that automate tasks and make our lives easy.
These devices can be useful for many things, like security access, lighting, temperature, etc …
These devices can be useful for many things, like security access, lighting, temperature, etc …
A novel denoising method of the hydro-turbine runner for fault signal based on WT-EEMD
F Dao, Y Zeng, J Qian - Measurement, 2023 - Elsevier
Sediment wear is a significant cause of hydro-turbine failure. The wavelet threshold and
ensemble empirical mode decomposition (WT-EEMD) method is proposed to denoising the …
ensemble empirical mode decomposition (WT-EEMD) method is proposed to denoising the …
[HTML][HTML] A survey and bibliometric analysis of different communication technologies available for smart meters
A smart energy meter is one of the most significant smart grid products. The smart energy
meter (SEM) is an advanced energy meter that collects data from end users' load devices …
meter (SEM) is an advanced energy meter that collects data from end users' load devices …
[HTML][HTML] Review of advanced sensor system applications in grinding operations
Background Today, in a wide variety of industries, grinding operations are an extremely
important finishing process for obtaining precise dimensions and meeting strict requirements …
important finishing process for obtaining precise dimensions and meeting strict requirements …
Design and implementation of a low-cost power logger device for specific demand profile analysis in demand-side management studies for smart grids
R Çakmak - Expert Systems with Applications, 2024 - Elsevier
Demand-side management is vital for achieving a balance between electricity demand and
generation, ensuring a reliable grid. Achieving this balance necessitates a deep …
generation, ensuring a reliable grid. Achieving this balance necessitates a deep …
Vampire: A smart energy meter for synchronous monitoring in a distributed computer system
This paper presents the design and implementation of a low-cost system oriented to the
synchronised and real-time surveillance and monitoring of electrical parameters of different …
synchronised and real-time surveillance and monitoring of electrical parameters of different …
A Novel Power Measurement Method Using Lock-In Amplifiers with a Frequency-Locked Loop
The extensive use of renewable energy systems with grid-connected inverters (GCIs)
causes harmonic injection. Similarly, the imbalance in energy demand and supply causes …
causes harmonic injection. Similarly, the imbalance in energy demand and supply causes …
CLEMD, a circuit-level electrical measurements dataset for electrical energy management
Enhancing energy efficiency in commercial buildings is crucial for reducing energy
consumption. Achieving this goal requires careful monitoring and analysis of the energy …
consumption. Achieving this goal requires careful monitoring and analysis of the energy …
[HTML][HTML] Evaluating the Performance of Smart Meters: Insights into Energy Management, Dynamic Pricing and Consumer Behavior
KG Koukouvinos, GK Koukouvinos, P Chalkiadakis… - Applied Sciences, 2025 - mdpi.com
Energy consumption demands are rapidly increasing every year, with an 8% annual growth
rate projected for the next five years. As buildings represent over 35% of this demand, a …
rate projected for the next five years. As buildings represent over 35% of this demand, a …