Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

How Much Human-Caused Global Warming Should We Expect with Business-As-Usual (BAU) Climate Policies? A Semi-Empirical Assessment

(2020) Ronan Connolly et al.   Energies

Machine Learning Based Hybrid System for Imputation and Efficient Energy Demand Forecasting

(2020) Prince Waqas Khan et al.   Energies

Toward Accurate Position Estimation Using Learning to Prediction Algorithm in Indoor Navigation

(2020) Faisal Jamil et al.   SENSORS

Improving Accuracy of the Kalman Filter Algorithm in Dynamic Conditions Using ANN-Based Learning Module

(2019) Israr Ullah et al.   Symmetry-Basel

Modeling and forecasting building energy consumption: A review of data-driven techniques

(2019) Mathieu Bourdeau et al.   Sustainable Cities and Society

SARM: Salah Activities Recognition Model Based on Smartphone

(2019) Nafees Ahmad et al.   Electronics

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

(2018) Priyanka Singh et al.   APPLIED ENERGY

Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting

(2018) et al.   Energies

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

(2018) Chujie Tian et al.   Energies

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

(2017) Subodh Paudel et al.   ENERGY AND BUILDINGS

Character-level neural network for biomedical named entity recognition

(2017) Mourad Gridach   JOURNAL OF BIOMEDICAL INFORMATICS

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Improving short term load forecast accuracy via combining sister forecasts

(2016) Jakub Nowotarski et al.   ENERGY

Using the ensemble Kalman filter for electricity load forecasting and analysis

(2016) Hisashi Takeda et al.   ENERGY

Deep belief network based electricity load forecasting: An analysis of Macedonian case

(2016) Aleksandra Dedinec et al.   ENERGY

A hybrid model approach for forecasting future residential electricity consumption

(2016) Bing Dong et al.   ENERGY AND BUILDINGS

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

Forecasting electricity load by a novel recurrent extreme learning machines approach

(2016) Ömer Faruk Ertugrul   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modelling and experimental performance analysis of solar-assisted ground source heat pump system

(2015) Hikmet Esen et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

(2015) Franklin L. Quilumba et al.   IEEE Transactions on Smart Grid

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Application of a hybrid quantized Elman neural network in short-term load forecasting

(2013) Penghua Li et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Energy Time Series Forecasting Based on Pattern Sequence Similarity

(2010) Francisco Martinez Alvarez et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

(2008) S.Sp. Pappas et al.   ENERGY

Fuzzy rule base design using tabu search algorithm for nonlinear system modeling

(2007) Aytekin Bagis   ISA TRANSACTIONS