Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …

T Ahmad, R Madonski, D Zhang, C Huang… - … and Sustainable Energy …, 2022 - Elsevier
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

Demand side management in microgrid: A critical review of key issues and recent trends

D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
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 …

[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 …

[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review

A Kathirgamanathan, M De Rosa, E Mangina… - … and Sustainable Energy …, 2021 - Elsevier
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 …

[HTML][HTML] Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective

F D'Ettorre, M Banaei, R Ebrahimy… - … and Sustainable Energy …, 2022 - Elsevier
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 …

Ten questions concerning energy flexibility in buildings

R Li, AJ Satchwell, D Finn, TH Christensen… - Building and …, 2022 - Elsevier
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 …

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 …

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

XJ Luo, LO Oyedele, AO Ajayi, OO Akinade… - … and Sustainable Energy …, 2020 - Elsevier
Accurate forecast of energy consumption is essential in building energy management.
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

A Shadmani, MR Nikoo, AH Gandomi, RQ Wang… - Energy Strategy …, 2023 - Elsevier
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 …

[HTML][HTML] Power to heat: Opportunity of flexibility services provided by building energy systems

Z Liu, Y Chen, X Yang, J Yan - Advances in Applied Energy, 2023 - Elsevier
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 …