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 …
Demand side management in microgrid: A critical review of key issues and recent trends
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …
handling the uncertain renewable power generation and load. The flat load-profile can be …
[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries
H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …
The volatility and intermittency of renewable energies pose real challenges to energy …
[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
[HTML][HTML] Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective
Demand-side flexibility will play a key role in reaching high levels of renewable generation
and making the transition to a more sustainable energy system. Indeed, end users can …
and making the transition to a more sustainable energy system. Indeed, end users can …
Ten questions concerning energy flexibility in buildings
Demand side energy flexibility is increasingly being viewed as an essential enabler for the
swift transition to a low-carbon energy system that displaces conventional fossil fuels with …
swift transition to a low-carbon energy system that displaces conventional fossil fuels with …
Dual-band electrochromic smart windows towards building energy conservation
T Bai, W Li, G Fu, Q Zhang, K Zhou, H Wang - Solar Energy Materials and …, 2023 - Elsevier
Windows play significant roles in today's buildings, allowing outside view and providing
occupants with daylight. However, windows are also often considered to be one of the …
occupants with daylight. However, windows are also often considered to be one of the …
Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings
Accurate forecast of energy consumption is essential in building energy management.
Owing to the variation of outdoor weather condition among different seasons, year-round …
Owing to the variation of outdoor weather condition among different seasons, year-round …
[HTML][HTML] A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization
Ocean energy technologies are in their developmental stages, like other renewable energy
sources. To be useable in the energy market, most components of wave energy devices …
sources. To be useable in the energy market, most components of wave energy devices …
[HTML][HTML] Power to heat: Opportunity of flexibility services provided by building energy systems
Buildings play a crucial role in global electricity consumption, but their function is evolving.
Rather than merely consuming energy, buildings have the potential to become energy …
Rather than merely consuming energy, buildings have the potential to become energy …