Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features

Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model

(2020) Joakim Munkhammar et al.   APPLIED ENERGY

Short Term Electric Load Forecasting Based on Data Transformation and Statistical Machine Learning

(2020) Nikos Andriopoulos et al.   Applied Sciences-Basel

Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load

(2019) Lei Xu et al.   APPLIED ENERGY

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A Kalman filter-based bottom-up approach for household short-term load forecast

(2019) Zhuang Zheng et al.   APPLIED ENERGY

Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting

(2019) Renzhuo Wan et al.   Electronics

Optimization methods and advanced applications for smart energy systems considering grid-interactive demand response

(2019) Yonghua Song et al.   APPLIED ENERGY

Short term electricity load forecasting using a hybrid model

(2018) Jinliang Zhang et al.   ENERGY

A review of data-driven building energy consumption prediction studies

(2018) Kadir Amasyali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Transactive control for connected homes and neighbourhoods

(2018) Na Wang   Nature Energy

Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition

(2018) Chuan Li et al.   ENERGY

Data driven prediction models of energy use of appliances in a low-energy house

(2017) Luis M. Candanedo et al.   ENERGY AND BUILDINGS

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

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

Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving

(2015) Menglian Zheng et al.   APPLIED ENERGY

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

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

(2014) Cheng Fan et al.   APPLIED ENERGY

A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings

(2014) Luis Hernandez et al.   IEEE Communications Surveys and Tutorials

Household Energy Consumption Segmentation Using Hourly Data

(2014) Jungsuk Kwac et al.   IEEE Transactions on Smart Grid

A novel dynamic modeling approach for predicting building energy performance

(2013) Xiaoshu Lü et al.   APPLIED ENERGY

Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks

(2013) Luis Hernández et al.   Energies

Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers

(2013) Ignacio Benítez et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Clustering-Based Improvement of Nonparametric Functional Time Series Forecasting: Application to Intra-Day Household-Level Load Curves

(2013) Mohamed Chaouch   IEEE Transactions on Smart Grid

Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting

(2012) Fahad Javed et al.   APPLIED ENERGY

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

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