Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …
materials such as hospital waste. Debris causes serious threats to people's health and can …
A review on applications of ANN and SVM for building electrical energy consumption forecasting
The rapid development of human population, buildings and technology application currently
has caused electric consumption to grow rapidly. Therefore, efficient energy management …
has caused electric consumption to grow rapidly. Therefore, efficient energy management …
A short-term load forecasting method using integrated CNN and LSTM network
In this study, a new technique is proposed to forecast short-term electrical load. Load
forecasting is an integral part of power system planning and operation. Precise forecasting …
forecasting is an integral part of power system planning and operation. Precise forecasting …
A Hybrid clustering and classification technique for forecasting short‐term energy consumption
This paper presents a hybrid approach to predict the electric energy usage of weather‐
sensitive loads. The presented method utilizes the clustering paradigm along with ANN and …
sensitive loads. The presented method utilizes the clustering paradigm along with ANN and …
A relevant data selection method for energy consumption prediction of low energy building based on support vector machine
Low energy buildings (LEBs) are being considered as a promising solution for the built
environment to satisfy high-energy efficiency standards. The technology is based on …
environment to satisfy high-energy efficiency standards. The technology is based on …
Effect of input variables on cooling load prediction accuracy of an office building
Y Ding, Q Zhang, T Yuan, F Yang - Applied Thermal Engineering, 2018 - Elsevier
Data-driven models have been widely used for building cooling load prediction. However,
the prediction accuracy depends not only on prediction models, but also on the selection of …
the prediction accuracy depends not only on prediction models, but also on the selection of …
Short-term load forecasting using GRU-LGBM fusion
The paper proposes an ensemble model of Light Gradient Boosting Machines (LGBM) and
Gated Recurrent Units (GRU) for Short-Term Load Forecasting (STLF). The utilization of …
Gated Recurrent Units (GRU) for Short-Term Load Forecasting (STLF). The utilization of …
Prediction of appliances energy use in smart homes
This paper presents methods for prediction of energy consumption of different appliances in
homes. The aim is to predict the next day electricity consumption for some services in …
homes. The aim is to predict the next day electricity consumption for some services in …
Using support vector machine to predict next day electricity load of public buildings with sub-metering devices
Predicting short term electricity load accurately is critical to facilitate demand side
management in the building sector. For buildings that have electricity sub-metering systems …
management in the building sector. For buildings that have electricity sub-metering systems …
Evaluating combined load forecasting in large power systems and smart grids
CE Borges, YK Penya… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
We present here a combined aggregative short-term load forecasting method for smart grids,
a novel methodology that allows us to obtain a global prognosis by summing up the …
a novel methodology that allows us to obtain a global prognosis by summing up the …