[HTML][HTML] Electricity load forecasting using advanced feature selection and optimal deep learning model for the variable refrigerant flow systems
W Kim, Y Han, KJ Kim, KW Song - Energy Reports, 2020 - Elsevier
The control optimization of a variable refrigerant flow (VRF) system requires an accurate
electricity load forecast because VRF systems have a wide range of energy consumption …
electricity load forecast because VRF systems have a wide range of energy consumption …
Towards modified entropy mutual information feature selection to forecast medium-term load using a deep learning model in smart homes
Over the last decades, load forecasting is used by power companies to balance energy
demand and supply. Among the several load forecasting methods, medium-term load …
demand and supply. Among the several load forecasting methods, medium-term load …
Development of a hybrid VRF system energy consumption prediction model based on data partitioning and swarm intelligence algorithm
Y He, Q Gong, Z Zhou, H Chen - Journal of Building Engineering, 2023 - Elsevier
Accurately forecasting energy consumption is beneficial and pivotal for effectively managing
variable refrigerant flow (VRF) systems. Changes in energy consumption provide an intuitive …
variable refrigerant flow (VRF) systems. Changes in energy consumption provide an intuitive …
Thermal energy storage air-conditioning demand response control using elman neural network prediction model
Q Meng, Y Xi, X Ren, H Li, L Jiang, L Yang - Sustainable Cities and Society, 2022 - Elsevier
Load forecasting plays a vital role in the effort to solve the imbalance between supply and
demand in smart grids. In buildings, a large part of electricity load comes from heating …
demand in smart grids. In buildings, a large part of electricity load comes from heating …
A deep bi-directional long-short term memory neural network-based methodology to enhance short-term electricity load forecasting for residential applications
Unexpected fluctuations associated with electricity load consumption patterns pose a
significant threat to the stability, efficiency, and sustainability of modernized energy systems …
significant threat to the stability, efficiency, and sustainability of modernized energy systems …
Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
G Fu - Energy, 2018 - Elsevier
Due to the high energy consumption in buildings, cooling load forecasting plays a crucial
role in the planning, control and operation of heating, ventilating and air-conditioning …
role in the planning, control and operation of heating, ventilating and air-conditioning …
[HTML][HTML] Forecast electricity demand in commercial building with machine learning models to enable demand response programs
F Pallonetto, C Jin, E Mangina - Energy and AI, 2022 - Elsevier
Electricity load forecasting is an important part of power system dispatching. Accurately
forecasting electricity load have great impact on a number of departments in power systems …
forecasting electricity load have great impact on a number of departments in power systems …
Deep learning forecasting for electric demand applications of cooling systems in buildings
J Runge, R Zmeureanu - Advanced Engineering Informatics, 2022 - Elsevier
This paper presents the application of a deep learning based model for the short-term
forecasting of the electric demand in a heating, ventilation, and air conditioning system …
forecasting of the electric demand in a heating, ventilation, and air conditioning system …
Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks
This paper presents a robust short-term electrical load forecasting framework that can
capture variations in building operation, regardless of building type and location. Nine …
capture variations in building operation, regardless of building type and location. Nine …
Towards short term electricity load forecasting using improved support vector machine and extreme learning machine
Forecasting the electricity load provides its future trends, consumption patterns and its
usage. There is no proper strategy to monitor the energy consumption and generation; and …
usage. There is no proper strategy to monitor the energy consumption and generation; and …