SMAP Energy

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Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes

CAMBRIDGE, 23 Oct 2018 Authors: Eoghan O’Neill (Faculty of Economics, University of Cambridge, UK), Melvyn Weeks (Faculty of Economics and Clare College, University of Cambridge, UK) Full publication: Link We examine the distributional effects of the introduction of Time-of-Use (TOU) pricing schemes where the price per kWh of electricity usage depends on the time of …

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We’re growing our AI energy analytics portfolio through Simulator – an application to improve I&C energy pricing

TOKYO, 18 October 2018 – SMAP Energy, alongside its partner Enechange, announces the commercial expansion of “SMAP Simulator”, an energy pricing application utilising AI energy analytics to improve forecasting precision, reduce quotation time, and allow energy suppliers to make highly competitive offers. “We are very pleased to be releasing SMAP Simulator, a quotation and planning tool …

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SMAP Energy becomes Solarcoin affiliate to incentivise global solar energy uptake & provide enhanced digital services to utility clients

SMAP Energy joins the SolarCoin Network as an affiliate to provide enhanced digital services to its utility clients and incentivise global solar energy installation. SolarCoin: A digital asset as a reward for producing solar power SolarCoin is described as the equivalent to airline miles for solar energy generation and acts as means to incentivizing for …

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Demand Response Models for Smart Meter Data: Estimation of Conditional Average Treatment Effects Using Many Covariates – An Application to Electricity Smart Meter Trial Data

Lead Investigator: Dr. Melvyn Weeks, Faculty of Economics, University of Cambridge, UK Coauthor: Eoghan O’Neil, Faculty of Economics, University of Cambridge, UK The investigation of treatment effect heterogeneity is of interest in many fields including economics and personalised medicine. In some applications, there are many available covariates and functions of covariates that are plausibly associated …

Demand Response Models for Smart Meter Data: Estimation of Conditional Average Treatment Effects Using Many Covariates – An Application to Electricity Smart Meter Trial DataRead More »

Forecasting Intra-Day Load Profiles under Time-Of-Use tariffs Using Smart Meter Data

Authors Kiguchi Ya , Heo Yb,  Weeks Mc, Choudhary Rad a Department of Engineering, University of Cambridge, UK b School of Civil, Environmental, and Architectural Engineering, Korea University, South Korea c Faculty of Economics and Clare College, University of Cambridge, UK d Data-centric Engineering, Alan Turing Institute, UK   Publication Details Energy, Volume 173, 15 April 2019, Pages 959-970 Received 17 February 2018, Revised 9 December 2018, Accepted 9 …

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Tariff Design: The Design of Optimal Tariffs for One-Day Ahead Load Forecasting

Lead Investigator: Dr. Melvyn Weeks, Faculty of Economics, University of Cambridge, UK Coauthor: Bowei Guo, Faculty of Economics, University of Cambridge, UK Governments across Europe and beyond are planning to integrate large quantities of intermittent wind and solar into the electricity grid. In this context, and with the timing of renewable supply largely fixed, a …

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Innovation Celebration: Energy startups honoured at EDF Energy Pulse Awards

SMAP Energy participated in Innovator’s Day – the culminating event for EDF Energy’s Blue Lab Innovation Challenge. After 12 weeks of intense commercial and technical study, the selected startups all presented their business case for future collaboration with EDF Energy. “Successfully completing this acceleration program and determining a path for future collaboration is a tremendous …

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SMAP Energy gains British Chamber of Commerce recognition for international business growth

SMAP Energy was featured in the British Chamber of Commerce in Japan’s Acumen magazine for our business growth in the Japanese energy sector. Entitled “Energy to Expand”, the article included commentary from leading UK energy startups Moixa and KiWi Power, as well as from SMAP Energy co-founders Yohei Kiguchi and Paul Monroe. “The feature in this …

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SMAP Energy joins EDF Blue Lab in 2017 Innovation Challenge

SMAP Energy is proud to announce its selection into the EDF Blue Lab 2017 Innovation Challenge. Startups were selected on the criteria that their ideas could make the greatest difference to EDF customers. The program runs over 12 weeks, and at the end all of the short-listed innovations have the opportunity for future commercial relationships, …

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