Optimal dispatching of renewable energy‐based urban microgrids using a deep learning approach for electrical load and wind power forecasting

Day-ahead economic dispatch of microgrid based on game theory

(2020) Lu Sun et al.   Energy Reports

Designing a standalone wind-diesel-CAES hybrid energy system by using a scenario-based bi-level programming method

(2020) Xiao Xu et al.   ENERGY CONVERSION AND MANAGEMENT

Optimal Configuration and Sizing of an Integrated Renewable Energy System for Isolated and Grid-Connected Microgrids: The Case of an Urban University Campus

(2020) Navid Shirzadi et al.   Energies

Optimal two-stage dispatch method of household PV-BESS integrated generation system under time-of-use electricity price

(2020) Hejun Yang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting

(2019) Lulu Wen et al.   ENERGY

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations

(2019) Muhammad Fahad Zia et al.   APPLIED ENERGY

Techno-economic optimization and social costs assessment of microgrid-conventional grid integration using genetic algorithm and Artificial Neural Networks: A case study for two US cities

(2019) Prashant Nagapurkar et al.   JOURNAL OF CLEANER PRODUCTION

A robust optimization approach for optimal load dispatch of community energy hub

(2019) Xinhui Lu et al.   APPLIED ENERGY

A systematic decision-making approach for planning and assessment of hybrid renewable energy-based microgrid with techno-economic optimization: A case study on an urban community in Egypt

(2019) M.R. Elkadeem et al.   Sustainable Cities and Society

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

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-objective optimal load dispatch of microgrid with stochastic access of electric vehicles

(2018) Xinhui Lu et al.   JOURNAL OF CLEANER PRODUCTION

Multi-objective optimal dispatch of microgrid containing electric vehicles

(2017) Xinhui Lu et al.   JOURNAL OF CLEANER PRODUCTION

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

Wind and solar energy curtailment: A review of international experience

(2016) Lori Bird et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A self-adaptive hybrid approach for wind speed forecasting

(2015) Jianzhou Wang et al.   RENEWABLE ENERGY

A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China

(2014) Jianzhou Wang et al.   ENERGY

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Emission Reduction and Economical Optimization of an Urban Microgrid Operation Including Dispatched PV-Based Active Generators

(2014) Hristiyan Kanchev et al.   IEEE Transactions on Sustainable Energy

Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks

(2013) Arash Kialashaki et al.   APPLIED ENERGY

Sizing of Energy Storage for Microgrids

(2011) S. X. Chen et al.   IEEE Transactions on Smart Grid

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY