Development of Easily Accessible Electricity Consumption Model Using Open Data and GA-SVR

Development of an England-wide indoor overheating and air pollution model using artificial neural networks

(2016) Phil Symonds et al.   Journal of Building Performance Simulation

Electrical consumption forecasting in hospital facilities: An application case

(2015) A. Bagnasco et al.   ENERGY AND BUILDINGS

Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

(2015) Hyun Chul Jung et al.   ENERGY AND BUILDINGS

Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis

(2015) Radu Platon et al.   ENERGY AND BUILDINGS

Review of dynamic pricing programs in the U.S. and Europe: Status quo and policy recommendations

(2015) Zheng Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

(2014) Rishee K. Jain et al.   APPLIED ENERGY

State of the art in building modelling and energy performances prediction: A review

(2013) Aurélie Foucquier et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables

(2012) Hyojoo Son et al.   AUTOMATION IN CONSTRUCTION

Predicting future hourly residential electrical consumption: A machine learning case study

(2012) Richard E. Edwards et al.   ENERGY AND BUILDINGS

Regression models for predicting UK office building energy consumption from heating and cooling demands

(2012) Ivan Korolija et al.   ENERGY AND BUILDINGS

A rapid calibration procedure and case study for simplified simulation models of commonly used HVAC systems

(2010) Guopeng Liu et al.   BUILDING AND ENVIRONMENT

The hybrid forecasting model based on chaotic mapping, genetic algorithm and support vector machine

(2009) Qi Wu   EXPERT SYSTEMS WITH APPLICATIONS

Electric load forecasting by support vector model

(2008) Wei-Chiang Hong   APPLIED MATHEMATICAL MODELLING

MapReduce

(2008) Jeffrey Dean et al.   COMMUNICATIONS OF THE ACM

A summary of demand response in electricity markets

(2008) M.H. Albadi et al.   ELECTRIC POWER SYSTEMS RESEARCH

Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm–support vector machines: HGASVM

(2007) Engin Avci   EXPERT SYSTEMS WITH APPLICATIONS