Challenges and opportunities of machine learning control in building operations
Abstract Machine learning control (MLC) is a highly flexible and adaptable method that
enables the design, modeling, tuning, and maintenance of building controllers to be more …
enables the design, modeling, tuning, and maintenance of building controllers to be more …
[HTML][HTML] Modeling and sensitivity analysis of grid-connected hybrid green microgrid system
The demonstrated research work analyses the technoeconomic modelling and sensitivity
analysis of the available resources for the rural community in India. The various resources …
analysis of the available resources for the rural community in India. The various resources …
Survey of BERT-base models for scientific text classification: COVID-19 case study
On 30 January 2020, the World Health Organization announced a new coronavirus, which
later turned out to be very dangerous. Since that date, COVID-19 has spread to become a …
later turned out to be very dangerous. Since that date, COVID-19 has spread to become a …
A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems
The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …
uncertainty for an electricity provider. For a dependable and financially advantageous …
Comprehensive Review of Solid State Transformers in the Distribution System: From High Voltage Power Components to the Field Application
This paper presents a systematical and progressive appraisal of the technology since the
inception of AC-AC conversion, which is seen to be an indispensable and vital for the …
inception of AC-AC conversion, which is seen to be an indispensable and vital for the …
A critical analysis of the impact of pandemic on China's electricity usage patterns and the global development of renewable energy
The COVID-19 pandemic has impacted economic activity in numerous sectors due to
multiple forms of disruption, including border closures, a stay-at-home policy, and social …
multiple forms of disruption, including border closures, a stay-at-home policy, and social …
[HTML][HTML] Role of machine learning in attaining environmental sustainability
Climate change and sustainable development are significant challenges that must be
addressed as soon as possible. As a result of this vision, the renewable energy (RE) …
addressed as soon as possible. As a result of this vision, the renewable energy (RE) …
An optimized fuzzy based control solution for frequency oscillation reduction in electric grids
The demand for uninterruptible electricity supply is increasing, and the power engineering
sector has started researching alternative solutions. Distributed generation (DG) …
sector has started researching alternative solutions. Distributed generation (DG) …
Intelligence techniques in sustainable energy: analysis of a decade of advances
In the last decade, many artificial intelligence (AI) techniques have been used to solve
various problems in sustainable energy (SE). Consequently, an increasing volume of …
various problems in sustainable energy (SE). Consequently, an increasing volume of …
Energy efficient UAV flight path model for cluster head selection in next-generation wireless sensor networks
Wireless sensor networks (WSNs) are one of the fundamental infrastructures for Internet of
Things (IoTs) technology. Efficient energy consumption is one of the greatest challenges in …
Things (IoTs) technology. Efficient energy consumption is one of the greatest challenges in …