Short-term office temperature forecasting through a data-driven approach integrated with bidirectional gated recurrent neural network
S Zhang, S Gurusamy, K James-Chakraborty… - Energy and …, 2024 - Elsevier
Accurate indoor temperature forecasting can facilitate the energy savings, thus improving
the building energy efficiency. Based on the discontinuous sensor data collection in this …
the building energy efficiency. Based on the discontinuous sensor data collection in this …
Leveraging regression models for rule based complex event processing
In recent times, IoT devices have surged enormously, which creates a lot of raw data that is
dynamic in nature, and processing it in real time to find useful information is challenging …
dynamic in nature, and processing it in real time to find useful information is challenging …
Grid search for SARIMAX parameters for photovoltaic time series modeling
T Andrianajaina, DT Razafimahefa… - Global journal of …, 2022 - avantipublisher.com
Abstract The SARIMAX (Seasonal Autoregressive Integrated Moving Average with
eXogenous regressors) model is a time series model that can be used to forecast future …
eXogenous regressors) model is a time series model that can be used to forecast future …
[HTML][HTML] Estrategias de predicción de consumo energético en edificaciones: una revisión
L Ortega-Diaz, J Cárdenas-Rangel, G Osma-Pinto - TecnoLógicas, 2023 - scielo.org.co
Los edificios son uno de los principales actores contaminantes del medio ambiente, por lo
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
Comparative Study of Statistical, Machine Learning, and Deep Learning for Rice Retail Price Forecasting in West Java
INGAM Wardhiana, MZ Ghufron… - … Innovation and Its …, 2024 - ieeexplore.ieee.org
This research investigates the effectiveness of machine learning (ML), deep learning (DL),
and statistical algorithms for forecasting rice retail prices in West Java, Indonesia. Employing …
and statistical algorithms for forecasting rice retail prices in West Java, Indonesia. Employing …
An Analytical Comparison of Statistical and Machine Learning Approaches for Time Series Data Analysis
SS Kumar, R Tufani, R Chandra - 2024 14th International …, 2024 - ieeexplore.ieee.org
In recent times, intelligent system-based infrastructure has emerged exponentially and is
growing rapidly. Smart building is one of the prominent applications of intelligent systems …
growing rapidly. Smart building is one of the prominent applications of intelligent systems …
Predictive Stream Analytics for Threshold based Approach: A Case Study of Temperature Anomaly
An important aspect of daily life is sensing environmental factors within a smart home
environment, the majority of which humans use for thermal comfort. A good prediction of …
environment, the majority of which humans use for thermal comfort. A good prediction of …
Software defect prediction using data mining techniques
Looking at the present scenario in several industries, colleges, and business perspectives
everywhere, different software products are used to execute a variety of tasks efficiently and …
everywhere, different software products are used to execute a variety of tasks efficiently and …
Estrategias de predicción de consumo energético en edificaciones: una revisión
LO Diaz, JC Rangel, GAO Pinto - TecnoLógicas, 2023 - dialnet.unirioja.es
Los edificios son uno de los principales actores contaminantes del medio ambiente, por lo
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
que es necesario fortalecer las estrategias para la reducción de su consumo energético …