Aggregated short-term load forecasting for heterogeneous buildings using machine learning with peak estimation

Recurrent inception convolution neural network for multi short-term load forecasting

(2019) Junhong Kim et al.   ENERGY AND BUILDINGS

Short-term power load forecasting based on multi-layer bidirectional Recurrent Neural Network

(2019) Yuyan Dai et al.   IET Generation Transmission & Distribution

Day-ahead aggregated load forecasting based on two-terminal sparse coding and deep neural network fusion

(2019) Haiwen Chen et al.   ELECTRIC POWER SYSTEMS RESEARCH

Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm

(2019) Mostafa Askari et al.   IET Generation Transmission & Distribution

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting Demand Flexibility of Aggregated Residential Load Using Smart Meter Data

(2018) Jelena Ponocko et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Peak load forecasting based on multi-source data and day-to-day topological network

(2018) Pan Zeng et al.   IET Generation Transmission & Distribution

Multi-nodal short-term energy forecasting using smart meter data

(2018) Barry P. Hayes et al.   IET Generation Transmission & Distribution

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Relative Humidity for Load Forecasting Models

(2018) Jingrui Xie et al.   IEEE Transactions on Smart Grid

Conditional Residual Modeling for Probabilistic Load Forecasting

(2018) Yi Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Gumbel Copula Based Aggregated Net Load Forecasting For Modern Power Systems

(2018) Rohit Bhakar et al.   IET Generation Transmission & Distribution

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

(2018) Renzhi Lu et al.   APPLIED ENERGY

Distributed Robust Control of the Power Flows in a Team of Cooperating Microgrids

(2017) Chiara Bersani et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Energy management systems aggregators: A literature survey

(2017) Andreia M. Carreiro et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

(2017) Zeyu Wang 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

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

(2016) Aleksandra Dedinec et al.   ENERGY

Optimal Control of Power Flows and Energy Local Storages in a Network of Microgrids Modeled as a System of Systems

(2015) Ahmed Ouammi et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Optimal Control of a Network of Power Microgrids Using the Pontryagin's Minimum Principle

(2014) Hanane Dagdougui et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Decentralized Control of the Power Flows in a Network of Smart Microgrids Modeled as a Team of Cooperative Agents

(2013) Hanane Dagdougui et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electricity Price and Demand Forecasting in Smart Grids

(2012) Amir Motamedi et al.   IEEE Transactions on Smart Grid