Environment Systems & Decisions, Journal Year: 2025, Volume and Issue: 45(1)
Published: Jan. 7, 2025
Language: Английский
Energy and AI, Journal Year: 2022, Volume and Issue: 10, P. 100195 - 100195
Published: Aug. 5, 2022
The vigorous expansion of renewable energy as a substitute for fossil is the predominant route action to achieve worldwide carbon neutrality. However, clean supplies in multi-energy building districts are still at preliminary stages paradigm transitions. In particular, technologies and methodologies large-scale integrations not sufficiently sophisticated, terms intelligent control management. Artificial (AI) techniques powered systems can learn from bio-inspired lessons provide power with intelligence. there few in-depth dissections deliberations on roles AI decarbonisation systems. This study summarizes commonly used AI-related approaches discusses their functional advantages when being applied various sectors, well contribution optimizing operational modalities improving overall effectiveness. also presents practical applications integration systems, analyzes effectiveness through theoretical explanations diverse case studies. addition, this introduces limitations challenges associated neutrality transition using relevant techniques, proposes further promising research perspectives recommendations. comprehensive review ignites advanced provides valuable informational instructions guidelines different stakeholders (e.g., engineers, designers scientists) transition.
Language: Английский
Citations
146
International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 67, P. 1009 - 1025
Published: Jan. 19, 2024
Language: Английский
Citations
51
Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 92, P. 117 - 170
Published: March 5, 2024
Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage expected increase by more than 40% 20 years. Therefore, compensate for demand requirements, proper planning strategies are needed improve home management systems (HEMs). One crucial aspects HEMS load forecasting scheduling utilization. Energy depend heavily on precise scheduling. Considering this scenario, article was divided into two parts. Firstly, gives thorough analysis models HEMs with primary goal determining whichever model most appropriate given situation. Moreover, optimal utilization HEMs, current literature has discussed number optimization approaches. secondly article, these approaches be examined thoroughly develop effective operating make wise judgments regarding techniques HEMs. Finally, paper also presents future technical advancements research gaps how they affect activities near future.
Language: Английский
Citations
28
Energy and Buildings, Journal Year: 2024, Volume and Issue: 308, P. 113988 - 113988
Published: Feb. 15, 2024
Energy communities play a key role in the transition to sustainable energy, helping inform and engage end-users so that they can become active energy consumers. In practice, trials pilots often risk failure due misplaced expectations unforeseen behaviours when it comes achieving flexible demand resources. order tackle these challenges, residential electricity load profile datasets consumer survey results emerge as powerful tools for identifying controllable loads, consumption models, tailored understanding of communities' contexts. This paper first outlines analyses datasets' capabilities leverage data-driven decision-making more efficient deployments demand-side management (DSM) systems. A number appliance behaviour patterns are extracted, based on high loads shifting, being validated over three different use cases support turn-key DSM presence absence renewable supply bill saving. genetic algorithm optimization is applied underpin reallocation optimal community profiles by combining time-variable tariff use. Experiments demonstrate shiftable appliances reduce average peak up 29% increasing self-consumption, leading valuable saving 9%. Our findings also point current limitations existing load/consumption datasets, which hindering design flexibility response programmes communities.
Language: Английский
Citations
19
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 83, P. 110613 - 110613
Published: Feb. 1, 2024
Language: Английский
Citations
18
Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 72, P. 108525 - 108525
Published: Aug. 8, 2023
Language: Английский
Citations
30
Solar Energy, Journal Year: 2023, Volume and Issue: 252, P. 8 - 19
Published: Jan. 31, 2023
Language: Английский
Citations
27
Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 1212 - 1224
Published: Jan. 9, 2024
Considering Saudi Arabia's strategy entails economic diversification and a reduction in dependency on oil, change towards sustainable efficient energy management practices is required. Effective critical for optimising consumption, lowering costs, reducing the environmental footprint. Traditional systems are frequently built rule-based or deterministic techniques that fail to address complexity uncertainty inherent home usage patterns user behaviours. Fuzzy logic-based solutions have emerged recent years, holding enormous promise domestic management. logic excels at dealing with imprecise uncertain input, making it ideal modelling human-centric such as This study presents cutting-edge fuzzy-based smart system adapted residential buildings. Using fuzzy approaches, intends optimize usage, reduce peak demand, improve efficiency. It automatically adjusts energy-consuming devices air conditioning, lights, appliances depending preferences, occupancy patterns, well real-time prices using decision-making algorithms. The research not only substantiates success of this through comparative study, but also highlights its prospective benefits Arabian constructions. covers obstacles potential possibilities adopting systems, exposing promising road more safe future. study's findings underscore superiority alternative, revealing most effective means evaluate system's performance unique advantages relation other established approaches.
Language: Английский
Citations
15
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 91, P. 111935 - 111935
Published: May 20, 2024
Language: Английский
Citations
13
Annals of Emerging Technologies in Computing, Journal Year: 2024, Volume and Issue: 8(1), P. 22 - 35
Published: Jan. 1, 2024
The design of the robotic arm's trajectory is based on inverse kinematics problem solving, with additional refinements certain criteria. One common issue optimization arm. Due to difficulty work in past, many suggested ways only resulted a marginal improvement. This paper introduces two approaches solve achieving arm control while maintaining minimum reachability time. These are rule-based and genetic algorithm. way we addressed here robot’s forward takes into account minimization operating time throughout operation cycle. proposed techniques were validated, all recommended criteria compared KUKA KR 4 R600 six-degree-of-freedom robot. As conclusion, algorithm behaves better than one terms minimal trip We found that solutions generated by Genetic approximately 3 times faster other same paths. argue as produces its after discovering problem’s searching space which consuming, it not case per
Language: Английский
Citations
9