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Enhancing sustainability and energy efficiency in smart factories: A review
With the rapid development of sensing, communication, computing technologies, and
analytics techniques, today's manufacturing is marching towards a new generation of …
analytics techniques, today's manufacturing is marching towards a new generation of …
On search for unconventional energy sources for harvesting
P Ligęza - Energies, 2024 - mdpi.com
Energy transformation requires replacing power plants based on fossil raw materials with
renewable energy. Energy harvesting plays an important, although not fully appreciated …
renewable energy. Energy harvesting plays an important, although not fully appreciated …
[HTML][HTML] Design of a hybrid AC/DC microgrid using Homer Pro: Case study on an islanded residential application
This paper is concerned with the design of an autonomous hybrid alternating current/direct
current (AC/DC) microgrid for a community system, located on an island without the …
current (AC/DC) microgrid for a community system, located on an island without the …
[HTML][HTML] Optimal design and sizing of hybrid photovoltaic/fuel cell electrical power system
Renewable energy solutions play a crucial role in addressing the growing energy demands
while mitigating environmental concerns. This study examines the techno-economic viability …
while mitigating environmental concerns. This study examines the techno-economic viability …
A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization …
The off-grid electrification of remote communities, by utilizing renewable energy
technologies through the development of smart micro-grids, is necessary to realize the …
technologies through the development of smart micro-grids, is necessary to realize the …
Integration of open source hardware Arduino platform in automation systems applied to Smart Grids/Micro-Grids
Large scale deployment of Smart Grids (SGs) and Smart Micro-Grids (SMGs) requires
overcoming problems related to interoperability and high costs. To automate and monitor …
overcoming problems related to interoperability and high costs. To automate and monitor …
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
The energy transition to a cleaner environment has been a concern for many researchers
and policy makers, as well as communities and non-governmental organizations. The effects …
and policy makers, as well as communities and non-governmental organizations. The effects …
[HTML][HTML] Development and calibration of an open source, low-cost power smart meter prototype for PV household-prosumers
Smart meter roll-out in photovoltaic (PV) household-prosumers provides easy access to
granular meter measurements, which enables advanced energy services. The design of …
granular meter measurements, which enables advanced energy services. The design of …
[HTML][HTML] Supply side management vs. demand side management of a residential microgrid equipped with an electric vehicle in a dual tariff scheme
Fundamentally, two main methodologies are used to reduce the electric energy bill in
residential, commercial, and even industrial applications. The first method is to act on the …
residential, commercial, and even industrial applications. The first method is to act on the …
Estimating solar insolation and power generation of photovoltaic systems using previous day weather data
MH Chung - Advances in Civil Engineering, 2020 - Wiley Online Library
Day‐ahead predictions of solar insolation are useful for forecasting the energy production of
photovoltaic (PV) systems attached to buildings, and accurate forecasts are essential for …
photovoltaic (PV) systems attached to buildings, and accurate forecasts are essential for …