A review on machine learning algorithms to predict daylighting inside buildings
M Ayoub - Solar energy, 2020 - Elsevier
Steep increases in air temperatures and CO 2 emissions have been associated with the
global demand for energy. This is coupled with population growth and improved living …
global demand for energy. This is coupled with population growth and improved living …
100 Years of daylighting: A chronological review of daylight prediction and calculation methods
M Ayoub - Solar Energy, 2019 - Elsevier
Daylighting is a parallel universe to Architecture, where architects benefit greatly from
daylight prediction techniques, which have witnessed a paradigm shift from simple methods …
daylight prediction techniques, which have witnessed a paradigm shift from simple methods …
Machine learning-based optimal crop selection system in smart agriculture
The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …
Machine Learning convergence for weather based crop selection
Agriculture plays a vital role in Indian economy. It contributes 18% of total India's GDP. In
India, most of the crops are solely dependent upon weather conditions. Hence, more yield of …
India, most of the crops are solely dependent upon weather conditions. Hence, more yield of …
Mlrm: A multiple linear regression based model for average temperature prediction of a day
Weather is a phenomenon that affects everything and everyone around us on a daily basis.
Weather prediction has been an important point of study for decades as researchers have …
Weather prediction has been an important point of study for decades as researchers have …
IoT-based environmental parameter monitoring using machine learning approach
MM Kashid, KJ Karande, AO Mulani - Proceedings of the International …, 2022 - Springer
Today environmental protection is essential for people to make certain safe and rich
existence. Tracking necessities vary widely, rely on location, extending to specialized …
existence. Tracking necessities vary widely, rely on location, extending to specialized …
Machine learning–assisted prediction of heat fluxes through thermally anisotropic building envelopes
Thermally anisotropic building envelope (TABE) is a novel active building envelope that can
save energy use to maintain thermal comfort in buildings by redirecting heat and coolness …
save energy use to maintain thermal comfort in buildings by redirecting heat and coolness …
Automated predictive analytics tool for rainfall forecasting
M Raval, P Sivashanmugam, V Pham, H Gohel… - Scientific Reports, 2021 - nature.com
Australia faces a dryness disaster whose impact may be mitigated by rainfall prediction.
Being an incredibly challenging task, yet accurate prediction of rainfall plays an enormous …
Being an incredibly challenging task, yet accurate prediction of rainfall plays an enormous …
Data mining for meteorological applications: Decision trees for modeling rainfall prediction
A Geetha, GM Nasira - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
Prediction is a challenging task and that too for weather is even more complex, dynamic and
mind-boggling. Weather prediction poses right from the ancient times as a big herculean …
mind-boggling. Weather prediction poses right from the ancient times as a big herculean …
A comparative study of prediction and classification models on NCDC weather data
I Gad, D Hosahalli - International Journal of Computers and …, 2022 - Taylor & Francis
Weather forecasting plays a significant role in different aspects of life such as in the
operation of hydro-power plants, renewable energy, flood management, and agriculture …
operation of hydro-power plants, renewable energy, flood management, and agriculture …